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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Energy Res.</journal-id>
<journal-title>Frontiers in Energy Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Energy Res.</abbrev-journal-title>
<issn pub-type="epub">2296-598X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">865602</article-id>
<article-id pub-id-type="doi">10.3389/fenrg.2022.865602</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Energy Research</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Traction Network Protection Based on Similarity of Transient Current Waveform</article-title>
<alt-title alt-title-type="left-running-head">Chen et al.</alt-title>
<alt-title alt-title-type="right-running-head">Traction Network Protection</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Shilong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zihang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1540018/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Hao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bi</surname>
<given-names>Guihong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xing</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1488951/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Pengsong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Wenying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Electrical Engineering</institution>, <institution>Kunming University of Science and Technology</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Kunming Power Supply Bureau in Yunnan Power Grid Co., Ltd.</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Electric Power Research Institute</institution>, <institution>Yunnan Power Grid Co., LTD.</institution>, <addr-line>Kunming</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1378335/overview">Xun Shen</ext-link>, Tokyo Institute of Technology, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1616162/overview">Sandeep Kumar Duran</ext-link>, Lovely Professional University, India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1667866/overview">Sahil Sardana</ext-link>, Indian Institute of Technology, Dhanbad, India</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Wenying Zhang, <email>kmzwying@sina.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Smart Grids, a section of the journal Frontiers in Energy Research</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>865602</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Chen, Zhang, Liu, Bi, Xing, Li and Zhang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Chen, Zhang, Liu, Bi, Xing, Li and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>In this paper, a protection scheme for the traction network of the penetrating co-phase traction direct power supply system based on the waveform similarity at both ends of line is proposed. Besides, research on the transmission characteristics of fault current is also carried out. This article, from the perspectives of the reflection and refraction process, attenuation degree, and polarity of fault current, analyzes the correlation and difference of current waveforms at both ends when interior line faults and adjacent line faults emerge. The correlation of waveforms can be proved by cosine similarity after the process of synchronous squeezes wavelet transformation of fault current. The conclusions are as follows: when the interior line faults occur, the sequence, reflection and refraction process, and attenuation degree reaching both ends are roughly the same, the polarity change direction is the same, and the waveform similarity is high; when the adjacent line faults occur, the sequence, reflection and refraction process, and attenuation degree reaching at both ends are greatly different, the polarity change direction is opposite, and the waveform similarity is low. When a protection scheme is based on using cosine similarity, it can quickly and accurately identify internal or external current faults. Simulation results show that the proposed algorithm can meet the requirements of rapidity, selectivity, and reliability and is not affected by transition resistance and fault inception angles, so it has an application prospect to a certain degree.</p>
</abstract>
<kwd-group>
<kwd>penetrating co-phase traction direct power supply system</kwd>
<kwd>synchronous squeezed wavelet transformation</kwd>
<kwd>cosine similarity</kwd>
<kwd>traction network</kwd>
<kwd>transient protection</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The traction direct power supply system is a unique branch of the power system, but suffers high failure frequency due to its complicated deployment environment, such as bad geographic environment, complex weather conditions, locomotive load, and lightning stroke. At the same time, traction network has high requirements for power supply reliability. For this reason, its relay protection scheme must have specific capabilities to quickly and accurately identify the faults.</p>
<p>Relay protection schemes and fault location methods based on traveling wave and transient signals have achieved great success in the deployment of transmission and distribution lines. <xref ref-type="bibr" rid="B3">Deng et al. (2018)</xref>, <xref ref-type="bibr" rid="B1">Biswas and Milanfar, (2016)</xref> and <xref ref-type="bibr" rid="B1">Li et al. (2019)</xref> based on time&#x2013;frequency correlation of fault waveform characteristics put forward a time&#x2013;frequency matrix constructed by fault waveform of continuous wavelet transform and S-transform, and by it, they believe that the internal and external faults of transmission line could be distinguished; <xref ref-type="bibr" rid="B25">Wang et al. (2019)</xref> and <xref ref-type="bibr" rid="B36">Zhen et al. (2019)</xref>, with the help of cosine similarity of transient current waveform to construct a flexible DC distribution system, give a scheme for outgoing feeder protection of new energy station. Based on the correlation characteristics of fault waveforms, Li Z. et al. (2018) and <xref ref-type="bibr" rid="B6">Hongchun et al. (2012</xref>) propose using waveform coefficient to distinguish internal and external faults; Li et al. (2019), based on the waveform similarity of forward and reverse differential currents, state that the fault location information can be accessed by analysis of the Pearson coefficient. In recent years, many researchers in this field have analyzed the propagation characteristics of fault traveling wave in the traction network line and appealed that the research of fault traveling wave and fault located of traction network should be conducted as a whole (<xref ref-type="bibr" rid="B27">Xue et al., 2012</xref>; <xref ref-type="bibr" rid="B26">Xiong et al., 2019</xref>; <xref ref-type="bibr" rid="B14">Pan et al., 2014</xref>). However, fault traveling wave and fault transient signal have not been widely used in the protection of traction network. As transient protection is of the advantages of stability, reliability, and rapidity, it would be a new attempt to apply it to traction network.</p>
<p>The penetrating co-phase traction direct power supply system and capacitance are paralleled at every outlet of traction substations for filtering, and the paralleled capacitance would create wave impedance discontinuity. The waveform detected at the relay location is the transient signal generated by the fault point, and after repeated folding, reflection, (<xref ref-type="bibr" rid="B16">Shen et al., 2021</xref>; <xref ref-type="bibr" rid="B17">Shen and Raksincharoensak, 2021a</xref>) and refraction, it is superimposed according to a certain time sequence. The traction network and line boundary exert a certain attenuation effect on the fault transient signal, which is why the amplitude of waveform (<xref ref-type="bibr" rid="B19">Shen et al., 2020a</xref>; <xref ref-type="bibr" rid="B20">Shen et al., 2020b</xref>; <xref ref-type="bibr" rid="B35">Zhang et al., 2021</xref>) at both ends of the line is different when the fault location is different. The polarity of the signal detected at both ends of the device is different (<xref ref-type="bibr" rid="B18">Shen and Raksincharoensak, 2021b</xref>; <xref ref-type="bibr" rid="B15">Shen et al., 2022</xref>) when the fault location is different. The cosine similarity is used to represent the difference of waveform at both ends of the line. When the information about the reflection and refraction, arrival time sequence, attenuation degree, polarity, and other relevant factors of waveforms at both ends of the line are roughly the same, the waveform similarity is high, and the cosine similarity is large. Otherwise, the cosine similarity is small. Taking advantage of the (<xref ref-type="bibr" rid="B5">Han et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Li B. et al., 2018</xref>) abovementioned characteristics, the pilot protection of traction network in the traction direct power supply system could be constructed on the basis of the similarity of current waveform.</p>
<p>Synchronous squeeze wavelet transform (SWT) compresses the time&#x2013;frequency map after wavelet transform in the frequency domain direction (<xref ref-type="bibr" rid="B12">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Liu et al., 2020</xref>), and its time&#x2013;frequency curve is clearer and the decomposition result remains approximately unchanged, which is conducive to solving the mode mixing problem and is more accurate than taking wavelet transform, S-transform, and other methods (<xref ref-type="bibr" rid="B4">Duan et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Yu et al., 2017a</xref>).</p>
<p>This study studies the unique structure of the traction direct power supply system. Based on the transmission characteristics and attenuation function of transient waveform, it analyzed the similarity of the current waveforms at both ends of the traction network interior line faults and adjacent line faults and proposed a new method of the line protection based on synchronous squeeze wavelet and waveform similarity, whereby the internal and external faults can be quickly and accurately identified. The scheme uses cosine similarity of waveform at both ends of the line to form the protection criterion, making effective use of the waveform characteristics and making the protection more reliable, and is not affected by the transition resistance and the initial angle of the fault. It is the first time this method and the traction system have been combined. With the help of simulation software PSCAD/EMTDC, the model of the penetrating co-phase traction direct power supply system could be constructed for effective algorithm verification.</p>
</sec>
<sec id="s2">
<title>2 Structure and Boundary of the Penetrating Co-Phase Traction Direct Power Supply System</title>
<sec id="s2-1">
<title>2.1 Penetrating Co-Phase Traction Direct Power Supply System</title>
<p>The structure of the penetrating co-phase traction direct power supply system is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. The system is mainly composed of public power grid, traction substation, traction network, and electric locomotive. The three-phase alternating current of the public power grid outputs a single-phase alternating current with equal amplitude and same phase through rectifier operation and inverter operation of traction substation (<xref ref-type="bibr" rid="B9">Li, 2014</xref>). Usually, the length of the line between two traction substations is 30&#x2013;35&#xa0;km. In this study, 35&#xa0;km is adopted.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Penetrating co-phase traction direct power supply system.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g001.tif"/>
</fig>
</sec>
<sec id="s2-2">
<title>2.2 Boundary of Traction Network</title>
<p>Connection method of co-phase traction substation and traction network is shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. The capacitors at the outlet are connected in parallel with the traction network to reduce the harmonic content entering the traction network and improve the power quality of the traction network lines.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Connection method of co-phase traction substation and traction network.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g002.tif"/>
</fig>
<p>The capacitance connected in parallel with traction network shows low impedance to high frequency current. Thus, it is of certain boundary characteristics. When the fault current passes through the boundary of the traction network, a part of the fault current flows into the capacitors, which leads to a sharp difference with the fault current detected at the relay location where internal and external fault appears. According to the method from <xref ref-type="bibr" rid="B23">Song et al., 2014</xref>, the capacitance at the outlet of traction substation plus-2 meters contact line is set as the line boundary.</p>
<p>According to the composition of traction network boundary of co-phase traction power supply system, the frequency characteristics are analyzed, as shown in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Amplitude&#x2013;frequency characteristics of the traction network boundary.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g003.tif"/>
</fig>
<p>It can be seen from <xref ref-type="fig" rid="F3">Figure 3</xref> that fault signals with different frequencies show unequal passage characteristics after passing through the boundary. When the signal frequency is greater than 600Hz, the amplitude of amplitude&#x2013;frequency characteristic is far less than 1, which indicates that the boundary has a strong attenuation effect on high frequency signal (<xref ref-type="bibr" rid="B21">Shen et al., 2017</xref>; <xref ref-type="bibr" rid="B28">Yang et al., 2018</xref>; <xref ref-type="bibr" rid="B22">Song et al., 2020</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3 The Analysis of the Fault Current of the Penetrating Co-Phase Traction Direct Power Supply System</title>
<p>
<xref ref-type="fig" rid="F4">Figure 4</xref> is the typical schematic diagram of the traction network line structure, and <inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>P</mml:mi>
<mml:mi mathvariant="normal">&#x3001;</mml:mi>
<mml:mi>Q</mml:mi>
<mml:mi mathvariant="normal">&#x3001;</mml:mi>
<mml:mi>M</mml:mi>
<mml:mi mathvariant="normal">&#x3001;</mml:mi>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is where the traction substation is located, also known as the fault detecting point. In this study, the traction network between <inline-formula id="inf2">
<mml:math id="m2">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> is taken as the research object, which is also in the zone. The faults are set in <inline-formula id="inf3">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf4">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, and <inline-formula id="inf5">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>. After the fault occurs in the traction network, the fault transient current signal propagates along the line at the fault point at high speed to both sides, and produces reflection and refraction where the wave impedance is discontinuous. The transient signal detected by the detecting point, <inline-formula id="inf6">
<mml:math id="m6">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, is related to attenuation function, reflection and refraction coefficient and fault location. The positive directions of <inline-formula id="inf7">
<mml:math id="m7">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mi mathvariant="normal">&#x3001;</mml:mi>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> are shown in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Schematic diagram of the traction network line structure.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g004.tif"/>
</fig>
<sec id="s3-1">
<title>3.1 Internal Line Fault</title>
<p>When the fault occurs in <inline-formula id="inf8">
<mml:math id="m8">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (in the zone), the transient current from the fault point flows to both ends of the line, and the traction network has an attenuation effect on the transient signal of the fault. The polarity changes of the transient current detected by the protection devices at both ends of the line are the same, and the transient current only passes through the line, so the attenuation characteristics, reflection process, and transmission sequence are basically consistent, and the waveform shape of the transient current is basically the same. However, when the fault point is relatively far from the midpoint of the line, the waveform shape is different due to the different arrival time sequence of the fault transient current; at the same time, due to the attenuation effect of the traction network on the fault transient signal, the attenuation degree of the transient current with different frequency is different in the transmission process, so the amplitude is different.</p>
<p>When a metallic short-circuit fault occurs, a distance of 15&#xa0;km form <inline-formula id="inf9">
<mml:math id="m9">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula>, its mode component is obtained by decoupling and transforming the fault transient current of <inline-formula id="inf10">
<mml:math id="m10">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula> and <inline-formula id="inf11">
<mml:math id="m11">
<mml:mi>N</mml:mi>
</mml:math>
</inline-formula>, as shown in <xref ref-type="fig" rid="F5">Figure 5</xref>.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Line mode waveform in M and N at the fault in the zone (f<sub>2</sub>). (<bold>A</bold>) Forward zone out of fault (<inline-formula id="inf12">
<mml:math id="m12">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>). (<bold>B</bold>) Reverse zone out of fault (<inline-formula id="inf13">
<mml:math id="m13">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>).</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g005.tif"/>
</fig>
<p>It can be seen from <xref ref-type="fig" rid="F5">Figure 5</xref> that the waveform of mode component of fault transient current at both ends of the line is basically the same when the fault occurs in the zone.</p>
</sec>
<sec id="s3-2">
<title>3.2 Adjacent Line Fault</title>
<p>In case of fault occurring in <inline-formula id="inf14">
<mml:math id="m14">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (outside the reverse zone) and <inline-formula id="inf15">
<mml:math id="m15">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (outside the forward zone), the transient current will flow through the boundary of the traction network line, and the waveform of the transient current will be reflected, and the high frequency component will be strongly attenuated when passing through the boundary. The polarity change direction of the current waveform detected by the detecting point, <inline-formula id="inf16">
<mml:math id="m16">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, will be opposite; the reflection and refraction process, attenuation degree, and transmission sequence of the transient current waveform will be completely different. Therefore, the waveform of fault transient current will be completely different.</p>
<p>When a metallic short-circuit fault occurs, a distance of 35&#xa0;km forms the forward zone of <inline-formula id="inf17">
<mml:math id="m17">
<mml:mi>N</mml:mi>
</mml:math>
</inline-formula>, that is <inline-formula id="inf18">
<mml:math id="m18">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, its mode component is obtained by decoupling and transforming the fault transient current of <inline-formula id="inf19">
<mml:math id="m19">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula> and <inline-formula id="inf20">
<mml:math id="m20">
<mml:mi>N</mml:mi>
</mml:math>
</inline-formula>, as shown in <xref ref-type="fig" rid="F6">Figure 6A</xref>. When a metallic short-circuit fault occurs, a distance of 20&#xa0;km forms the reverse zone of <inline-formula id="inf21">
<mml:math id="m21">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula>, that is <inline-formula id="inf22">
<mml:math id="m22">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, its mode component is shown in <xref ref-type="fig" rid="F6">Figure 6B</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Line mode waveform in M and N at the fault outside the zone.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g006.tif"/>
</fig>
<p>It can be seen from <xref ref-type="fig" rid="F6">Figure 6</xref> that the waveform of mode component of fault transient current at both ends of the line is opposite and in sharp difference when the fault occurs outside the zone.</p>
<p>To sum up, the waveform of fault current is related to transmission characteristics (refraction and reflection process, attenuation degree, arrival time sequence, change direction) and transmission function. When the fault occurs in the zone, the refraction and reflection process and attenuation characteristics of the transient current are basically the same, the polarity change direction is the same, and the transmission sequence is slightly different, all resulting in local differences in waveform. But generally speaking, the fault transient current waveforms detected at both ends of the line are basically similar. When the fault occurs outside the area, the transient current attenuates through the boundary, the frequency components are different, the refraction and reflection process, the transmission sequence are completely different, and the polarity change direction is opposite. The waveform of fault transient current detected at both ends of the line is significantly different.</p>
</sec>
</sec>
<sec id="s4">
<title>4 The Pilot Protection Based on Synchronous Squeezed Wavelet and Waveform Similarity</title>
<p>Based on the above analysis, this article puts forward the transmission line protection principle based on the theoretical basis of the change characteristics of current waveform at both ends and the similarity of transient current waveform.</p>
<sec id="s4-1">
<title>4.1 Similarity Theory</title>
<p>Cosine similarity is widely applied for information retrieval and data mining. In recent years, many scholars have studied, with cosine similarity, the fault line detection, fault location, and line protection (<xref ref-type="bibr" rid="B7">Li B. et al., 2019</xref>; <xref ref-type="bibr" rid="B25">Wang et al., 2019</xref>; <xref ref-type="bibr" rid="B11">Li Z. et al., 2018</xref>). The cosine value of the angle between two vector inner spaces is used to characterize their similarity, which is known as the follows:<disp-formula id="e1">
<mml:math id="m23">
<mml:mrow>
<mml:mi>cos</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>&#x3b8;</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>a</mml:mi>
<mml:mo>&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>&#x2022;</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>b</mml:mi>
<mml:mo>&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2016;</mml:mo>
<mml:mi>a</mml:mi>
<mml:mo>&#x2016;</mml:mo>
<mml:mo>&#xd7;</mml:mo>
<mml:mo>&#x2016;</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>&#x2016;</mml:mo>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>From <xref ref-type="disp-formula" rid="e1">Eq. 1</xref>, it can be concluded that when the direction of two vectors, <inline-formula id="inf23">
<mml:math id="m24">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
</mml:mrow>
<mml:mo stretchy="true">&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf24">
<mml:math id="m25">
<mml:mrow>
<mml:mover accent="true">
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mo>&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> are same, cosine similarity is 1; when <inline-formula id="inf25">
<mml:math id="m26">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
</mml:mrow>
<mml:mo stretchy="true">&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf26">
<mml:math id="m27">
<mml:mrow>
<mml:mover accent="true">
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mo>&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> are vertical, cosine similarity is 0; when the direction of two vectors, <inline-formula id="inf27">
<mml:math id="m28">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:mi mathvariant="bold-italic">a</mml:mi>
<mml:mtext>&#xa0;</mml:mtext>
</mml:mrow>
<mml:mo stretchy="true">&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf28">
<mml:math id="m29">
<mml:mrow>
<mml:mover accent="true">
<mml:mi mathvariant="bold-italic">b</mml:mi>
<mml:mo>&#x2192;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>, are opposite, cosine similarity is -1.</p>
<p>If <inline-formula id="inf29">
<mml:math id="m30">
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:mo>&#x22ef;</mml:mo>
<mml:mo>,</mml:mo>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>}</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf30">
<mml:math id="m31">
<mml:mrow>
<mml:mi>y</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>y</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:msub>
<mml:mi>y</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:mo>&#x22ef;</mml:mo>
<mml:mo>,</mml:mo>
<mml:msub>
<mml:mi>y</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>}</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> are two independent variables, and <inline-formula id="inf31">
<mml:math id="m32">
<mml:mi>n</mml:mi>
</mml:math>
</inline-formula> is sampling point, their cosine similarity can be expressed as follows:<disp-formula id="e2">
<mml:math id="m33">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
<mml:msub>
<mml:mi>y</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
<mml:mrow>
<mml:msqrt>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:msubsup>
<mml:mi>x</mml:mi>
<mml:mi>i</mml:mi>
<mml:mn>2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:msqrt>
<mml:msqrt>
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:msubsup>
<mml:mi>y</mml:mi>
<mml:mi>i</mml:mi>
<mml:mn>2</mml:mn>
</mml:msubsup>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:mfrac>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(2)</label>
</disp-formula>
</p>
<p>In the formula, <inline-formula id="inf32">
<mml:math id="m34">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> represents cosine similarity, and <inline-formula id="inf33">
<mml:math id="m35">
<mml:mrow>
<mml:msub>
<mml:mi>x</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf34">
<mml:math id="m36">
<mml:mrow>
<mml:msub>
<mml:mi>y</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> <inline-formula id="inf35">
<mml:math id="m37">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1,2</mml:mn>
<mml:mo>,</mml:mo>
<mml:mo>&#x22ef;</mml:mo>
<mml:mo>,</mml:mo>
<mml:mi>n</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> are the No. <inline-formula id="inf36">
<mml:math id="m38">
<mml:mi>i</mml:mi>
</mml:math>
</inline-formula> element of independent variable, <inline-formula id="inf37">
<mml:math id="m39">
<mml:mi>x</mml:mi>
</mml:math>
</inline-formula> and <inline-formula id="inf38">
<mml:math id="m40">
<mml:mi>y</mml:mi>
</mml:math>
</inline-formula>, respectively.</p>
<p>The value range of <inline-formula id="inf39">
<mml:math id="m41">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is [- 1,1], and the sign indicates the relevant direction. For <inline-formula id="inf40">
<mml:math id="m42">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, the higher the value, higher the similarity of the waveform of the two signals. When <inline-formula id="inf41">
<mml:math id="m43">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>, it means that the two signals are completely negatively correlated; when <inline-formula id="inf42">
<mml:math id="m44">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>, it means that the two signals are completely positively correlated; when <inline-formula id="inf43">
<mml:math id="m45">
<mml:mrow>
<mml:mi>R</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>x</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>y</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:math>
</inline-formula>, the two signals are quite different and uncorrelated (<xref ref-type="bibr" rid="B3">Deng et al., 2018</xref>; <xref ref-type="bibr" rid="B11">Li Z. et al., 2018</xref>).</p>
</sec>
<sec id="s4-2">
<title>4.2 The Method Based on Synchronous Squeezed Wavelet Transformation</title>
<sec id="s4-2-1">
<title>4.2.1 Basic Principles of SWT</title>
<p>
<xref ref-type="bibr" rid="B2">Daubechies et al., 2011</xref> and <xref ref-type="bibr" rid="B24">Thakur et al., 2013</xref> proposed when obtained by SWT, the time&#x2013;frequency curve is of higher clearness, the component precision is higher, and the time&#x2013;frequency energy is more concentrated (<xref ref-type="bibr" rid="B4">Duan et al., 2019</xref>; <xref ref-type="bibr" rid="B34">Yu et al., 2017a</xref>). In this case, the composite signal, <inline-formula id="inf44">
<mml:math id="m46">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, is as follows:<disp-formula id="e3">
<mml:math id="m47">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
<mml:mo>&#x3d;</mml:mo>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x3bb;</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msup>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>&#x3c0;</mml:mi>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mi>t</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi>&#x3c6;</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(3)</label>
</disp-formula>
</p>
<p>The synchronous squeezed wavelet changes on the basis of continuous wavelet, and<inline-formula id="inf45">
<mml:math id="m48">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is the change of continuous wavelet transforms into <inline-formula id="inf46">
<mml:math id="m49">
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, in which <inline-formula id="inf47">
<mml:math id="m50">
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> are the scale and shift factor. The initial estimated instantaneous frequency of <inline-formula id="inf48">
<mml:math id="m51">
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, as a result, is<disp-formula id="e4">
<mml:math id="m52">
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mtable columnalign="left">
<mml:mtr>
<mml:mtd>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>i</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xb7;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2202;</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#x2260;</mml:mo>
<mml:mn>0</mml:mn>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2260;</mml:mo>
<mml:mn>0</mml:mn>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
<p>After synchronous squeezing of wavelet coefficient, <inline-formula id="inf49">
<mml:math id="m53">
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, where <inline-formula id="inf50">
<mml:math id="m54">
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> is the threshold value and accuracy is <inline-formula id="inf51">
<mml:math id="m55">
<mml:mi>&#x3b4;</mml:mi>
</mml:math>
</inline-formula>, the result is<disp-formula id="e5">
<mml:math id="m56">
<mml:mrow>
<mml:msubsup>
<mml:mi>S</mml:mi>
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mo>,</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:mrow>
<mml:mi>&#x3b4;</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>b</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>&#x3c9;</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:munder>
<mml:mo>&#x222b;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>,</mml:mo>
<mml:mi>f</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:munder>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mi>&#x3b4;</mml:mi>
</mml:mfrac>
<mml:mi>h</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x3c9;</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mi>&#x3b4;</mml:mi>
</mml:mfrac>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3</mml:mn>
<mml:mo>/</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mi>d</mml:mi>
<mml:mi>a</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>
</p>
<p>In this formula, <inline-formula id="inf52">
<mml:math id="m57">
<mml:mrow>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mn>1.4826</mml:mn>
<mml:msqrt>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>ln</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:msqrt>
<mml:mo>&#x2022;</mml:mo>
<mml:mi>M</mml:mi>
<mml:mi>A</mml:mi>
<mml:mi>D</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf53">
<mml:math id="m58">
<mml:mi>N</mml:mi>
</mml:math>
</inline-formula> are the signal length. <inline-formula id="inf54">
<mml:math id="m59">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mi>A</mml:mi>
<mml:mi>D</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is the median value of wavelet coefficients in the minimum scale layer; <inline-formula id="inf55">
<mml:math id="m60">
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mrow>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>,</mml:mo>
<mml:mi>f</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>&#x2208;</mml:mo>
<mml:msup>
<mml:mi>R</mml:mi>
<mml:mi mathvariant="normal">&#x2b;</mml:mi>
</mml:msup>
<mml:mo>;</mml:mo>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
<mml:mo>&#x3e;</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:mrow>
<mml:mo>}</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
<p>If <inline-formula id="inf56">
<mml:math id="m61">
<mml:mrow>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mo>{</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>:</mml:mo>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:msubsup>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>k</mml:mi>
<mml:mo>&#x2032;</mml:mo>
</mml:msubsup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
<mml:mo>&#x3c;</mml:mo>
<mml:mi>&#x394;</mml:mi>
</mml:mrow>
<mml:mo>}</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, when <inline-formula id="inf57">
<mml:math id="m62">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2208;</mml:mo>
<mml:msub>
<mml:mi>Z</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, there would be<disp-formula id="e6">
<mml:math id="m63">
<mml:mrow>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:msubsup>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>k</mml:mi>
<mml:mo>&#x2032;</mml:mo>
</mml:msubsup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
<mml:mo>&#x2264;</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(6)</label>
</disp-formula>
</p>
<p>After the reconstruction of the component, <inline-formula id="inf58">
<mml:math id="m64">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> turns into <inline-formula id="inf59">
<mml:math id="m65">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>f</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, and the result is as follows:<disp-formula id="e7">
<mml:math id="m66">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>f</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:munder>
<mml:mrow>
<mml:mi>l</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>m</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi>&#x3b4;</mml:mi>
<mml:mo>&#x2192;</mml:mo>
<mml:mn>0</mml:mn>
</mml:mrow>
</mml:munder>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msubsup>
<mml:mi>R</mml:mi>
<mml:mi>&#x3c8;</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msubsup>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:munder>
<mml:mo>&#x222b;</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:mi>&#x3c9;</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:msup>
<mml:mi>&#x3c9;</mml:mi>
<mml:mtext>&#x27;</mml:mtext>
</mml:msup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3c;</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:munder>
<mml:mrow>
<mml:msubsup>
<mml:mi>S</mml:mi>
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mo>,</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:mrow>
<mml:mi>&#x3b4;</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>b</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>&#x3c9;</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>&#x3c9;</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(7)</label>
</disp-formula>
</p>
<p>For constant <inline-formula id="inf60">
<mml:math id="m67">
<mml:mi>C</mml:mi>
</mml:math>
</inline-formula>, if <inline-formula id="inf61">
<mml:math id="m68">
<mml:mrow>
<mml:mo>&#x2200;</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>&#x2208;</mml:mo>
<mml:mi>R</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, there would be<disp-formula id="e8">
<mml:math id="m69">
<mml:mrow>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>f</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:msup>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x3bb;</mml:mi>
<mml:mi>b</mml:mi>
</mml:mrow>
</mml:msup>
<mml:mo>&#x2061;</mml:mo>
<mml:mi>cos</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mi>&#x3c0;</mml:mi>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mi>b</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi>&#x3c6;</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
<mml:mo>&#x2264;</mml:mo>
<mml:mi>C</mml:mi>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3b5;</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(8)</label>
</disp-formula>
</p>
<p>According to (<xref ref-type="disp-formula" rid="e8">8</xref>), the SWT reconstructed component, <inline-formula id="inf62">
<mml:math id="m70">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>f</mml:mi>
<mml:mo>&#x2dc;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>b</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, is very accurately close to composite signal <inline-formula id="inf63">
<mml:math id="m71">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> &#x27;s <inline-formula id="inf64">
<mml:math id="m72">
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>&#xa0;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula>
<sup>th</sup> component, <inline-formula id="inf65">
<mml:math id="m73">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>.</p>
</sec>
<sec id="s4-2-2">
<title>4.2.2 The Signal of Synchronous Squeezed Wavelet Transformation Processing</title>
<p>When SWT is used to process fault transient signal, the steps are as follows:<list list-type="simple">
<list-item>
<p>(1) The result of the continuous wavelet transform processing for composite (<xref ref-type="bibr" rid="B32">Yang et al., 2021a</xref>; <xref ref-type="bibr" rid="B30">Yang et al., 2021b</xref>; <xref ref-type="bibr" rid="B31">Yang et al., 2022</xref>) signal, <inline-formula id="inf66">
<mml:math id="m74">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>is as follows:</p>
</list-item>
</list>
<disp-formula id="e9">
<mml:math id="m75">
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:mstyle displaystyle="true">
<mml:mrow>
<mml:munderover>
<mml:mo>&#x222b;</mml:mo>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>&#x221e;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>&#x221e;</mml:mi>
</mml:mrow>
</mml:munderover>
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:msup>
<mml:mi>a</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mn>2</mml:mn>
</mml:mfrac>
</mml:mrow>
</mml:msup>
<mml:mrow>
<mml:mover accent="true">
<mml:mi>&#x3c8;</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mi>a</mml:mi>
</mml:mfrac>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mi>d</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math>
<label>(9)</label>
</disp-formula>
<list list-type="simple">
<list-item>
<p>(2) Division of frequency interval: if the length of <inline-formula id="inf67">
<mml:math id="m76">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is <inline-formula id="inf68">
<mml:math id="m77">
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:mi>L</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>, the sampling interval is <inline-formula id="inf69">
<mml:math id="m78">
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf70">
<mml:math id="m79">
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> is taken as 32. We assume <inline-formula id="inf71">
<mml:math id="m80">
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>a</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>L</mml:mi>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf72">
<mml:math id="m81">
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>&#x3c9;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>a</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mfrac>
<mml:msub>
<mml:mrow>
<mml:mi>log</mml:mi>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mi>n</mml:mi>
<mml:mn>2</mml:mn>
</mml:mfrac>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, and dividing <inline-formula id="inf73">
<mml:math id="m82">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> into different frequency intervals, the <inline-formula id="inf74">
<mml:math id="m83">
<mml:mi>l</mml:mi>
</mml:math>
</inline-formula>
<sup>th</sup> frequency component of center frequency <inline-formula id="inf75">
<mml:math id="m84">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>l</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is as shown in <xref ref-type="disp-formula" rid="e10">formula (10)</xref>.</p>
</list-item>
<list-item>
<p>(2) Division of frequency interval: if the length of <inline-formula id="inf76">
<mml:math id="m85">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is <inline-formula id="inf77">
<mml:math id="m86">
<mml:mrow>
<mml:mi>n</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:mi>L</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>, the sampling interval is <inline-formula id="inf78">
<mml:math id="m87">
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf79">
<mml:math id="m88">
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> takes 32, <inline-formula id="inf80">
<mml:math id="m89">
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>a</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mi>L</mml:mi>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf81">
<mml:math id="m90">
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>&#x3c9;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mi>a</mml:mi>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mfrac>
<mml:msub>
<mml:mrow>
<mml:mi>log</mml:mi>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mi>n</mml:mi>
<mml:mn>2</mml:mn>
</mml:mfrac>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> and <inline-formula id="inf82">
<mml:math id="m91">
<mml:mrow>
<mml:mi>f</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is divided into different frequency intervals, as shown in <xref ref-type="disp-formula" rid="e10">formula (10)</xref>, the <inline-formula id="inf83">
<mml:math id="m92">
<mml:mi>l</mml:mi>
</mml:math>
</inline-formula>
<sup>th</sup> frequency component of center frequency <inline-formula id="inf84">
<mml:math id="m93">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>l</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> would be</p>
</list-item>
</list>
<disp-formula id="e10">
<mml:math id="m94">
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>l</mml:mi>
</mml:msub>
<mml:mo>&#x3d;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mrow>
<mml:mi>l</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>l</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:mfrac>
<mml:mo>,</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>l</mml:mi>
</mml:msub>
<mml:mo>&#x2b;</mml:mo>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mrow>
<mml:mi>l</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:mfrac>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>.</mml:mo>
</mml:mrow>
</mml:math> .<label>(10)</label>
</disp-formula>
<list list-type="simple">
<list-item>
<p>(3) Computing the coefficient of synchronous squeezed wavelet <inline-formula id="inf85">
<mml:math id="m95">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>,</p>
</list-item>
</list>
<disp-formula id="e11">
<mml:math id="m96">
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>l</mml:mi>
</mml:msub>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>&#x3c9;</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mstyle displaystyle="true">
<mml:msub>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>a</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
<mml:mo>:</mml:mo>
<mml:mrow>
<mml:mo>&#x7c;</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>&#x3c9;</mml:mi>
<mml:mi>l</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>&#x7c;</mml:mo>
</mml:mrow>
<mml:mo>&#x2264;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x394;</mml:mi>
<mml:mi>&#x3c9;</mml:mi>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:mfrac>
</mml:mrow>
</mml:msub>
<mml:mrow>
<mml:msub>
<mml:mi>W</mml:mi>
<mml:mi>f</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>a</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>b</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:msubsup>
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</inline-formula> and <inline-formula id="inf94">
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</inline-formula> is the scale of discreteness.</p>
</sec>
</sec>
<sec id="s4-3">
<title>4.3 Protection Scheme</title>
<p>The basic flow chart of traction network protection algorithm using synchronous squeezed wavelet transformation and waveform similarity is shown in <xref ref-type="fig" rid="F7">Figure 7</xref>.<list list-type="simple">
<list-item>
<p>(1) Start</p>
</list-item>
<list-item>
<p>(2) After the procedure has started, the fault transient current under the data window at both ends of the line is collected and decoupled. Selecting a mode component, the reconstructed signal <inline-formula id="inf97">
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</inline-formula> can be collected after preprocessing of line mode component of current by synchronous squeezed wavelet transformation and then the similarity of waveform at both ends,<inline-formula id="inf98">
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</inline-formula> is calculated by using the reconstructed signal.</p>
</list-item>
<list-item>
<p>(3) If the similarity between the two ends is greater than the set threshold, <inline-formula id="inf99">
<mml:math id="m111">
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>&#x3e;</mml:mo>
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</inline-formula>, an internal line fault occurs, and protective measures is adopted immediately; otherwise, it is an external line fault and no action is required.</p>
</list-item>
</list>
</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Protection scheme flowchart.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g007.tif"/>
</fig>
<p>Considering the influence of test error, communication delay, noise and other factors, the constant is set as 0.6, that is, <inline-formula id="inf100">
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<mml:mrow>
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<mml:mi>k</mml:mi>
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</inline-formula>.</p>
</sec>
</sec>
<sec id="s5">
<title>5 Simulation Verification and Analyzing</title>
<p>With the help of simulation software PSCAD/EMTDC, the model of the penetrating co-phase traction direct power supply system can be constructed, as shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<p>The line between No.1 and two of traction substation, that is the section of <inline-formula id="inf101">
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</mml:mrow>
</mml:math>
</inline-formula> in <xref ref-type="fig" rid="F4">Figure 4</xref>, is taken as the research object. As the traction network schematic diagram shown in <xref ref-type="fig" rid="F4">Figure 4</xref>, the fault of <inline-formula id="inf102">
<mml:math id="m114">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
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</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (in the zone), <inline-formula id="inf103">
<mml:math id="m115">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (outside the reverse zone) and<inline-formula id="inf104">
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<mml:mrow>
<mml:msub>
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</mml:msub>
</mml:mrow>
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</inline-formula>, the adjacent line fault (outside the forward zone), are taken into consideration, and the simulation test is carried out, respectively, at different fault locations, different transition resistances, and different fault inception angles. The sampling frequency is set at 50&#xa0;KHz and the data window, 5&#xa0;ms.</p>
<sec id="s5-1">
<title>5.1 The Analysis of Internal and External Faults in Different Locations</title>
<p>In order to simulate and analyze the effectiveness of the protection scheme at different fault locations, assuming metal grounding short-circuit faults occur at <inline-formula id="inf105">
<mml:math id="m117">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (outside the reverse zone), <inline-formula id="inf106">
<mml:math id="m118">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
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</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (in the zone), and <inline-formula id="inf107">
<mml:math id="m119">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> (outside the forward zone), respectively, with the initial fault angle of <inline-formula id="inf108">
<mml:math id="m120">
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mn>60</mml:mn>
</mml:mrow>
<mml:mo>&#x2218;</mml:mo>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>. Among them, for <inline-formula id="inf109">
<mml:math id="m121">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, starting from 0km, simulated fault points are set every 5&#xa0;km away from the positive direction of <inline-formula id="inf110">
<mml:math id="m122">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula>; for <inline-formula id="inf111">
<mml:math id="m123">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, the right exit of <inline-formula id="inf112">
<mml:math id="m124">
<mml:mi>N</mml:mi>
</mml:math>
</inline-formula> end is taken as the reference point outside the positive zone, and starting from 0km, simulated fault points are set every 5&#xa0;km from the positive direction of <inline-formula id="inf113">
<mml:math id="m125">
<mml:mi>N</mml:mi>
</mml:math>
</inline-formula>; for <inline-formula id="inf114">
<mml:math id="m126">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>, the left exit of <inline-formula id="inf115">
<mml:math id="m127">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula>end is taken as the reference point outside the negative zone, and starting from 0km, simulated fault points are set every 5&#xa0;km from the negative direction of <inline-formula id="inf116">
<mml:math id="m128">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula>. After computing the current waveform similarity of <inline-formula id="inf117">
<mml:math id="m129">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mi mathvariant="normal">&#x3001;</mml:mi>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> at both ends, the results are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Cosine similarity at different fault locations.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Fault location</th>
<th align="center">Fault distance/km</th>
<th align="center">K</th>
<th align="center">Result</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="8" align="left">
<inline-formula id="inf118">
<mml:math id="m130">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> in the zone</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.9097</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">5</td>
<td align="char" char=".">0.9214</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">10</td>
<td align="char" char=".">0.9880</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9960</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">20</td>
<td align="char" char=".">0.9967</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">25</td>
<td align="char" char=".">0.9826</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">30</td>
<td align="char" char=".">0.8996</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">0.8749</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="8" align="left">
<inline-formula id="inf119">
<mml:math id="m131">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>outside the forward zone</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.8343</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">5</td>
<td align="char" char=".">&#x2212;0.9011</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">10</td>
<td align="char" char=".">&#x2212;0.9816</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9927</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">20</td>
<td align="char" char=".">&#x2212;0.9955</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">25</td>
<td align="char" char=".">&#x2212;0.9965</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">30</td>
<td align="char" char=".">&#x2212;0.9964</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9974</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="8" align="left">
<inline-formula id="inf120">
<mml:math id="m132">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> outside the reverse zone</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.7751</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">5</td>
<td align="char" char=".">&#x2212;0.8349</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">10</td>
<td align="char" char=".">&#x2212;0.9455</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9683</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">20</td>
<td align="char" char=".">&#x2212;0.9763</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">25</td>
<td align="char" char=".">&#x2212;0.9821</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">30</td>
<td align="char" char=".">&#x2212;0.9885</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9867</td>
<td align="left">Outside the zone</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As shown in <xref ref-type="table" rid="T1">Table 1</xref>, in case of fault in the zone, the waveform similarity of both sides of the line is close to 1, indicating that the current waveform on both sides of the line is highly correlated; when the fault occurs outside the zone, value of waveform similarity is close to -1, indicating that the current waveform on both sides is negatively correlated. It can be seen from <xref ref-type="table" rid="T1">Table 1</xref> that the internal and external faults can be accurately identified by the calculation results of cosine similarity.</p>
</sec>
<sec id="s5-2">
<title>5.2 The Identification of Internal and External Faults Under Different Transition Resistances</title>
<p>As simulated analysis of effectiveness of the protection scheme, the transition resistances are <inline-formula id="inf121">
<mml:math id="m133">
<mml:mrow>
<mml:mn>0.1</mml:mn>
<mml:mi>&#x3a9;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf122">
<mml:math id="m134">
<mml:mrow>
<mml:mn>10</mml:mn>
<mml:mi>&#x3a9;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, <inline-formula id="inf123">
<mml:math id="m135">
<mml:mrow>
<mml:mn>10</mml:mn>
<mml:mi>&#x3a9;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>, and <inline-formula id="inf124">
<mml:math id="m136">
<mml:mrow>
<mml:mn>100</mml:mn>
<mml:mi>&#x3a9;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>,respectively, and the initial fault angle is <inline-formula id="inf125">
<mml:math id="m137">
<mml:mrow>
<mml:mi>&#x3b8;</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mn>60</mml:mn>
</mml:mrow>
<mml:mo>&#x2218;</mml:mo>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>. The setting of fault point is the same as that in <xref ref-type="sec" rid="s5-1">Section 5.1</xref>. The fault current in and outside the zone is detected, and the mode component after phase-mode transformation is taken for synchronous squeezed wavelet transformation, and the similarity of the reconstructed signal can be calculated. Due to limited space, this article provides only the calculation results of waveform similarity at the beginning, midpoint, and end of outside the reverse zone, in the zone, and outside of forward zone under different transition resistance in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Cosine similarity under different transition resistances.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Fault location</th>
<th align="center">Transition resistances/ <inline-formula id="inf126">
<mml:math id="m138">
<mml:mtext>&#x3a9;</mml:mtext>
</mml:math>
</inline-formula>
</th>
<th align="center">Fault distance/km</th>
<th align="center">K</th>
<th align="center">Result</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="12" align="left">
<inline-formula id="inf127">
<mml:math id="m139">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> in the zone</td>
<td rowspan="2" align="char" char=".">0.1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.9097</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9960</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">0.8749</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">10</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.9010</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9954</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">0.8130</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">50</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.8721</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9926</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">0.7980</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="3" align="char" char=".">100</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.7542</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9826</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">0.7827</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="12" align="left">
<inline-formula id="inf128">
<mml:math id="m140">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> outside of forward zone</td>
<td rowspan="2" align="char" char=".">0.1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.9943</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9927</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9974</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">10</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.9078</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9437</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9790</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">50</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.7193</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.6853</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.6828</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="3" align="char" char=".">100</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.7033</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.6615</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.6553</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="12" align="left">
<inline-formula id="inf129">
<mml:math id="m141">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> outside the reverse zone</td>
<td rowspan="2" align="char" char=".">0.1</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.9751</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9683</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9867</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">10</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.7438</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.8475</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.8359</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">50</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.5858</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.5486</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.6437</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="3" align="char" char=".">100</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.4599</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.4235</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.4373</td>
<td align="left">Outside the zone</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The waveform similarity calculation results of different fault locations under different transition resistances are shown in <xref ref-type="fig" rid="F8">Figure 8</xref>.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Similarity under different transition resistances.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g008.tif"/>
</fig>
<p>In <xref ref-type="fig" rid="F8">Figure 8</xref>, the abscissa is the distance from the fault point to the protection device, <inline-formula id="inf130">
<mml:math id="m142">
<mml:mi>M</mml:mi>
</mml:math>
</inline-formula>, and the negative sign indicates the reverse fault; the ordinate is the calculation result of the current waveform similarity of <inline-formula id="inf131">
<mml:math id="m143">
<mml:mrow>
<mml:mi>M</mml:mi>
<mml:mi mathvariant="normal">&#x3001;</mml:mi>
<mml:mi>N</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula> at both ends; the calculation results under different transition resistances are represented by different line types; those parallel to the abscissa are the thresholds <inline-formula id="inf132">
<mml:math id="m144">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>k</mml:mi>
<mml:mrow>
<mml:mi>s</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> set in this article. It can be seen from <xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F8">Figure 8</xref> that under different transition resistances, the similarity of current waveforms at both ends is greater than 0.6 in the case of internal fault, and much less than 0.6 in the case of external fault.</p>
</sec>
<sec id="s5-3">
<title>5.3 The Identification of Internal and External Faults at Different Fault Inception Angles</title>
<p>The effectiveness of the protection scheme is analyzed when the fault inception angles are<inline-formula id="inf133">
<mml:math id="m145">
<mml:mrow>
<mml:msup>
<mml:mn>5</mml:mn>
<mml:mo>&#x2218;</mml:mo>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>,<inline-formula id="inf134">
<mml:math id="m146">
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mn>30</mml:mn>
</mml:mrow>
<mml:mo>&#x2218;</mml:mo>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>,<inline-formula id="inf135">
<mml:math id="m147">
<mml:mrow>
<mml:msup>
<mml:mrow>
<mml:mn>45</mml:mn>
</mml:mrow>
<mml:mo>&#x2218;</mml:mo>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>, and <inline-formula id="inf136">
<mml:math id="m148">
<mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
<mml:msup>
<mml:mrow>
<mml:mn>90</mml:mn>
</mml:mrow>
<mml:mo>&#x2218;</mml:mo>
</mml:msup>
</mml:mrow>
</mml:math>
</inline-formula>, respectively, and the transition resistance is <inline-formula id="inf137">
<mml:math id="m149">
<mml:mrow>
<mml:mn>5</mml:mn>
<mml:mi>&#x3a9;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>. Due to limited space, this article only gives the calculation results of waveform similarity at the beginning, midpoint, and end of outside the reverse zone, in the zone, and outside of forward zone at different fault inception angles, as shown in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Cosine similarity under different fault initial angles.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Fault location</th>
<th align="center">Fault initial angle/(<inline-formula id="inf138">
<mml:math id="m150">
<mml:mo>&#x2218;</mml:mo>
</mml:math>
</inline-formula>)</th>
<th align="center">Fault distance/km</th>
<th align="center">K</th>
<th align="center">Result</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="12" align="left">
<inline-formula id="inf139">
<mml:math id="m151">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>2</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> in the zone</td>
<td rowspan="2" align="char" char=".">5</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.8078</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9709</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">0.8940</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">30</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.8088</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9920</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">0.8931</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">45</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.8191</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9955</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">0.8630</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="3" align="char" char=".">90</td>
<td align="char" char=".">0</td>
<td align="char" char=".">0.9051</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">0.9975</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">0.8935</td>
<td align="left">In the zone</td>
</tr>
<tr>
<td rowspan="12" align="left">
<inline-formula id="inf140">
<mml:math id="m152">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> outside the forward zone</td>
<td rowspan="2" align="char" char=".">5</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.9893</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9950</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9854</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">30</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.9544</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9942</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9919</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">45</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.8802</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9928</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9903</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="3" align="char" char=".">90</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.8810</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9780</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9902</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="12" align="left">
<inline-formula id="inf141">
<mml:math id="m153">
<mml:mrow>
<mml:msub>
<mml:mi>f</mml:mi>
<mml:mn>3</mml:mn>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> outside the forward zone</td>
<td rowspan="2" align="char" char=".">5</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.8670</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9976</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9666</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">30</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.8596</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9879</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9978</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="2" align="char" char=".">45</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.8995</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9642</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="left"/>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9919</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td rowspan="3" align="char" char=".">90</td>
<td align="char" char=".">0</td>
<td align="char" char=".">&#x2212;0.8862</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">15</td>
<td align="char" char=".">&#x2212;0.9176</td>
<td align="left">Outside the zone</td>
</tr>
<tr>
<td align="char" char=".">35</td>
<td align="char" char=".">&#x2212;0.9680</td>
<td align="left">Outside the zone</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The waveform similarity calculation results of different fault locations at different fault inception angles are shown in <xref ref-type="fig" rid="F9">Figure 9</xref>.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Similarity at different initial fault angles.</p>
</caption>
<graphic xlink:href="fenrg-10-865602-g009.tif"/>
</fig>
<p>It can be seen from <xref ref-type="table" rid="T3">Table 3</xref> and <xref ref-type="fig" rid="F8">Figure 8</xref> that, at different fault inception angles, the similarity of current waveforms at both ends is greater than 0.6 in the case of internal fault, and much less than 0.6 in the case of external fault.</p>
<p>It can be seen from <xref ref-type="fig" rid="F8">Figures 8</xref>, <xref ref-type="fig" rid="F9">9</xref> that the similarity value of the fault in the zone is greater than the threshold value, and that of the fault outside the zone is less than the threshold value. When the fault occurs at different initial fault angles, faults can be correctly identified by the protection scheme, which shows that the protection scheme is less affected by the initial fault angle.</p>
<p>From the above simulation results, it can be seen that this protection scheme based on synchronous squeezed wavelet and waveform similarity can accurately identify the internal and external faults when they occur at different fault locations, under different transition resistances, and at different fault initial angles, so as to reliably protect the line.</p>
</sec>
</sec>
<sec id="s6">
<title>6 Conclusion</title>
<p>In this article, the propagation characteristics of fault transient current in the penetrating co-phase traction power supply system during internal and external faults are analyzed, and a protection scheme for the co-phase traction direct power supply system based on synchronous squeezed wavelet transformation and waveform similarity is proposed. The theoretical analysis and simulation results show the following:<list list-type="simple">
<list-item>
<p>(1) The scheme has the advantages of short time window, easy calculation, and good rapidity</p>
</list-item>
<list-item>
<p>(2) The waveform of fault transient current detected at both ends is basically the same and the polarity change direction is the same as well in the case of internal fault; as for external fault, the waveform of fault transient current detected at both ends is quite different, and the polarity change direction is opposite</p>
</list-item>
<list-item>
<p>(3) The synchronous squeezed wavelet transform can achieve lossless and invertible transformation, and the processed fault transient current can accurately represent the fault information</p>
</list-item>
<list-item>
<p>(4) A large number of simulation experiments show that the protection scheme based on synchronous squeezed wavelet transform and waveform similarity can quickly and accurately distinguish the internal and external faults and can act reliably at different fault locations, under different transition resistances and at different initial fault angles</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec id="s7">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>SC was responsible for methodology, formal analysis, and validation. WZ was responsible for review and supervision and contributed to the conception and design of the study. ZZ was responsible for simulation, data analysis, and manuscript writing. HL and PL wrote sections of the manuscript. GB and CX were responsible for the derivation of the formula. All authors have read and approved the final version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by the National Natural Science Funds of China (No. 51767012).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>Authors HL and CX were employed by the company Yunnan Power Grid Co., Ltd.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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