A New Method of Traveling Wave Network Location Based on Dynamic Virtual Fault

被引：0
|
作者：
Xia Y. [1 ]
Li Z. [1 ]
Lei L. [1 ]
Mu L. [1 ]
Tang D. [1 ]
机构：
[1] Engineering Research Center of Ministry of Education for Power Grid Safety Monitoring Technology, Changsha University of Science and Technology, Changsha
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2021年 / 41卷 / 14期
基金：
中国国家自然科学基金;
关键词：
Fault location; Particle swarm optimization algorithm (PSO); Time difference matrix; Transmission line; Traveling wave;
D O I：
10.13334/j.0258-8013.pcsee.201232
中图分类号：
学科分类号：
摘要：
Aiming at the problems that process of network looping-off is complicated and positioning accuracy is easily influenced by traveling wave velocity, a traveling wave network location method based on dynamic fault simulation was proposed. The method presumed the location of the fault in advance in the transmission network, and calculated the time when the simulated initial traveling wave of the fault reaches each detection device according to the principle that the initial traveling wave of the fault propagates along the shortest path. The accuracy of the simulated fault location was measured by the difference between the time information of the simulated fault traveling wave and the actual value. Particle swarm optimization algorithm (PSO) was used to continuously revise the simulated fault location and traveling wave velocity, thus gradually approaching the real fault point and realizing accurate fault location. The simulation results show that the method does not need to analyze the topological structure of looped network and the operation of network looping-off, and can eliminate the influence of traveling wave velocity to a certain extent and realize accurate fault location. © 2021 Chin. Soc. for Elec. Eng.
引用
收藏
页码：4868 / 4878
页数：10
相关论文
共 26 条
  • [1] HE Zhengyou, LI Bo, LIAO Kai, Et al., Key Technologies for Protection and Control of Novel Urban Power Grids, Proceedings of the CSEE, 40, 19, pp. 6193-6207, (2020)
  • [2] HE Jinghan, LUO Guomin, CHENG Mengxiao, Et al., A Research Review on Application of Artificial Intelligence in Power System Fault Analysis and Location, Proceedings of the CSEE, 40, 17, pp. 5506-5516, (2020)
  • [3] ABOSHADY F M, THOMAS D W P, SUMNER M., A new single end wideband impedance based fault location scheme for distribution systems, Electric Power Systems Research, 173, pp. 263-270, (2019)
  • [4] DIDEHVAR S, CHABANLOO R M., Accurate estimating remote end equivalent impedance for adaptive one-ended fault location, Electric Power Systems Research, 170, pp. 194-204, (2019)
  • [5] YANG Xiaoli, SHU Qin, Distribution network fault location based on single-and double-end traveling wave distance measurement principle, Proceedings of the CSU-EPSA, 30, 4, pp. 91-96, (2018)
  • [6] LI Zewen, FAN Caixiong, ZENG Yun, Et al., Power line fault location method with double terminal traveling waves unconsidered wave transmission speed, Journal of Electric Power Science and Technology, 31, 2, pp. 79-83, (2016)
  • [7] WANG Bin, LU Yuanyuan, Single terminal fault location to single-line-to-ground fault in T transmission line based on sequenced time session data, Proceedings of the CSEE, 36, 10, pp. 2611-2618, (2016)
  • [8] DUAN Jiandong, LIU Jing, LU Hailong, Et al., Fault location method based on traveling-wave instantaneous frequency for HVDC transmission lines, Proceedings of the CSEE, 36, 7, pp. 1842-1848, (2016)
  • [9] DENG Feng, ZU Yarui, HUANG Yifei, Et al., Research on Single-ended Fault Location Method Based on the Dominant Frequency Component of Traveling Wave Full-waveform, Proceedings of the CSEE, 41, 6, pp. 2156-2168, (2021)
  • [10] LI Zewen, LV Jiajia, XI Yanhui, Et al., Accurate detection method of voltage traveling-wave-based on waveform inversion, Electric Power Systems Research, 178, (2020)
123