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Reliability study on non-contact traction power supplysystem based on fuzzy grey relational FTA

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The traction power supply system based on Inductively Coupled Power Transfer (ICPT) technology is one of the new traction power supply technologies that will bedeveloped in the future. As the core part of rail transit energy transfer and conversion, thetraction power supply system is not only the critical system for the safe operation of railtransit, but also the main source of its failures, so it is of great significance to study itsreliability. In this paper, the reliability analysis of the non-contact traction power supplysystem based on mobile ICPT technology is carried out using the method of (Fault Tree Analysis) FTA combined with triangular fuzzy theory and grey relational theory. Firstly,the fault tree of the system is established, and the minimum cut sets and structure functionof the fault tree are obtained. Then the triangular fuzzy numbers are introduced to representthe probability of the bottom events, and the fuzzy probability of the top event and the fuzzyimportance of the bottom events are determined, after that, the maximum probability offailure of the top event is obtained. Finally, the grey relational degrees of each minimum cutset are obtained and ranked. Furthermore, in order to prove the correctness of this method,the trapezoidal fuzzy FTA is introduced and compared with it. Both research results showthat the loosely coupled transformer and Insulated Gate Bipolar Transistor (IGBT) moduleare the weak links of the system. The results obtained are consistent and realistic, whichproves the correctness of the method selected in this article.
Rocznik
Strony
253--270
Opis fizyczny
Bibliogr. 29 poz., rys., wz., tab.
Twórcy
autor
  • Key Laboratory of Opto-Technology and Intelligent Control Ministry of Education, Lanzhou Jiaotong University, China
autor
  • School of New Energy and Power Engineering, Lanzhou Jiaotong University, China
Bibliografia
  • [1] Yang Q.X., Zhang P.C., Zhu L.H., Xue M., Zhang X., Li Y.,Key fundamental problems and technical bottlenecks of the wireless power transmission technology, Transactions of China ElectrotechnicalSociety, vol. 30, no. 5, pp. 1–8 (2015).
  • [2] He Z.Y., Feng D., Lin S., Sun X.J.,Research on security risk assessment for traction power supplysystem of high-speed railway, Journal of Southwest Jiaotong University, vol. 51, no. 3, pp. 418–429(2016).
  • [3] Mai R.K., Li Y., He Z.Y.,Wireless power transfer technology and its research progress in rail transportation, Journal of Southwest Jiaotong University, vol. 51, no. 3, pp. 446–461 (2016).
  • [4] Li X., Li R.Q.,Review of contactless traction power supply system based on ICPT, High VoltageApparatus, vol. 55, no. 7, pp. 1–9 (2019).
  • [5] Lin F.,The Analysis of indexes and reliability of the traction power supply system, MA Thesis,Southwest Jiaotong University (2006).
  • [6] Wang Z., Lin S., Feng D., Gao S.B., Chen J.,Research on reliability evaluation method for catenarysystem considering weather condition, Journal of the China Railway Society, vol. 40, no. 10, pp. 49–56(2018).
  • [7] Liu K., Liu Z. G., Chen J. W.,Crack detection of messenger wire supporter in catenary support devicesof high-speed railway, Journal of the China Railway Society, no. 7, pp. 43–49 (2019).
  • [8] Ali K., Mohammad E. H., Ebadollah K.,Prioritization approach for circuit breakers to equip with condition monitoring devices, Archives of Electrical Engineering, vol. 69, no. 2, pp. 403–422 (2020).
  • [9] Chen M. W., Tian H., Song Y.L.,Reliability optimization of co-phase power supply device basedon frequency conversion control strategy, Journal of Southwest Jiaotong University, vol. 55, no. 1,pp. 9–17 (2020).
  • [10] Xi Y., Chen B., Guo X. B.,Reliability assessment of distribution automation based on IEC61850, Power System Protection and Control, vol. 47, no. 16, pp. 129–135 (2019).
  • [11] Zhao H. S., Zhao H. Y.,Distribution system reliability analysis considering the elements failure ratechanges, Power System Protection and Control, vol. 43, no. 11, pp. 56–62 (2015).
  • [12] Hu S. W., Zhou H., Cong L.,Reliability analysis of distribution network with power electronic substationbased on fault tree, Power System Protection and Control, vol. 46, no. 21, pp. 25–31 (2018).
  • [13] Li Y. F., Du L., Xiao N. C.,Fuzzy fault tree analysis for auto drive axle system, Journal of Southwest Jiaotong University, vol. 43, no. 7, pp. 110–114 (2009).
  • [14] Liu P., Yang L. X., Gao Z. Y., Fault tree analysis combined with quantitative analysis for high-speedrailway accidents, Safety Science, pp. 344–357 (2015).
  • [15] Tanaka H., Fan L. T., Lai F. S.,Fault-tree analysis by fuzzy probability, IEEE Transactions on Reliability, vol. 32, no. 5, pp. 453–457 (1983).
  • [16] Liu Y., Xiao Y. L., Zhang G. B.,Fault tree analysis of grinding wheel rack system of CNC grinder basedon trapezoidal fuzzy number, Chinese Journal of Engineering Design, vol. 25, no. 4, pp. 394–401(2018).
  • [17] Singer D., A fuzzy set approach to fault tree and reliability analysis, Fuzzy Sets and Systems, vol. 34,no. 2, pp. 145–155 (1990).
  • [18] Huang W. C., Liu Y. K., Zhang Y.,Tree and fuzzy D–S evidential reasoning combined approach: Anapplication in railway dangerous goods transportation system accident analysis, Information Sciences, pp. 117–129 (2020).
  • [19] Zhou Z., Ma D. Z., Yu X. Y., Application of fuzzy grey relational analysis in fault tree analysis, Electric Machines and Control, vol. 16, no. 3, pp. 60–64 (2012).
  • [20] Wang T., Zhao Y., Chen J., Fault tree analysis of automobile drive axle system based on fuzzy greycorrelation theory, Journal of Central South University (Science and Technology), vol. 49, no. 11, pp. 2716–2722 (2018).
  • [21] Zhou G. L., Zhang J. T., Liu X. T., Study on reliability of disc brake system for mine hoist based on fuzzy dynamic fault tree, Journal of China Coal Society, vol. 44, no. 2, pp. 639–646 (2019).
  • [22] Zhao L. L., Wang M. X., Ni M., Analysis of hardware system’s reliability of security and stability control device, Power System Protection and Control, vol. 44, no. 13, pp. 67–73 (2016).
  • [23] Nan Y., Song R. Q., Chen P., Study on the factors influencing the reliability analysis in distribution net-work based on improved entropy weight grey correlation analysis algorithm, Power System Protection and Control, vol. 47, no. 24, pp. 101–107 (2019).
  • [24] Mo Y. F., Zhang Y. J.,Optimal object selection of power utilization reliability promotion for smart distribution grid based on weighted grey correlation, Power System Protection and Control, vol. 47, no. 5, pp. 26–34 (2019).
  • [25] Andruszkiewicz J., Lorenc J., Weychan A., Distributed generation as efficient measure to improve power generation adequacy, Archives of Electrical Engineering, vol. 68, no. 2, pp. 373–385 (2019).
  • [26] Zhao Z. Y., Yang Z. P., Lin F., Coil optimization of wireless power transfer system applied in trams based on parking error law, Proceedings of the CSEE, vol. 37, no. A1, pp. 196–203 (2017).
  • [27] Gao Q. L., Study on wireless charging system of electric vehicle based on ICPT, Electronics World, no. 4, pp. 189–191 (2016).
  • [28] Mai R. K., Lu L. W., Li Y.,Circulating current elimination of parallel dual-inverter for IPT Systems,Transactions of China Electrotechnical Society, vol. 31, no. 3, pp. 8–15 (2016).
  • [29] Han X. T., Yin X. G., Application of fault tree analysis method in reliability analysis of substation communication system, Power System Technology, no. 1, pp. 56–59 (2004).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-515bf6f1-9c8b-4952-bb62-fb8f7db8ad09
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