Analytical Model of Power Grid Fault Diagnosis Considering Main Protection Range of Three-section Line Protection

被引：0
|
作者：
Liu D. [1 ]
Guo Y. [1 ]
Li S. [1 ]
Bao M. [1 ]
Qi Y. [1 ]
Li J. [1 ]
机构：
[1] College of Electrical Engineering and New Energy, China Three Gorges University, Hubei Province, Yichang
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 05期
基金：
中国国家自然科学基金;
关键词：
analytical model; fault diagnosis; lines; main protection; protection scope;
D O I：
10.13335/j.1000-3673.pst.2022.1173
中图分类号：
学科分类号：
摘要：
When the line fails in the power system and the main protection does not act, it calls this situation miss-operation. The system will pay the price for the main protection’s refusal. This paper proposes an analytical model considering the main protection range of the three-stage line protection, avoiding the above situation and accurately judge the action of the main protection. The model divides the line into three parts and refines the logical expressions of the protection actions of these three parts based on range of the main protection at the both ends of the line. Then a complete analytical model is described combined with the model of bus and transformer. Using to simulate and verify the actual fault cases in the power grid by the improved particle swarm optimization (PSO) algorithm. This paper proves that the model is able solve the problem effectively the problem as well as realizes the accurate diagnosis of the power system faults. © 2023 Power System Technology Press. All rights reserved.
引用
收藏
页码：1905 / 1911
页数：6
相关论文
共 25 条
  • [1] JIANG Xuechen, WANG Dazhi, NING Yi, Query method for optimal diagnosis of power system faults[J], High Voltage Engineering, 43, 4, pp. 1311-1316, (2017)
  • [2] WEN Fushuan, HAN Zhenxiang, Fault section estimation in power systems using genetic algorithm and simulated annealing[J], Proceedings of the CSEE, 14, 3, pp. 29-35, (1994)
  • [3] WENG Hanli, MAO Peng, LIN Xiangning, An improved model for optimizing power system fault diagnosis[J], Automation of Electric Power Systems, 31, 7, pp. 66-70, (2007)
  • [4] WEN Fushuan, QIAN Yuanping, HAN Zhenxiang, A Tabu search based approach to fault section estimation and state identification of unobserved protective relays in power systems using information from protective relays and circuit breakers[J], Transactions of China Electrotechnical Society, 13, 5, pp. 1-8, (1998)
  • [5] YANG Lingxiao, ZHU Yali, High voltage circuit breaker fault diagnosis of probabilistic neural network[J], Power System Protection and Control, 43, 10, pp. 62-67, (2015)
  • [6] WANG Shoupeng, ZHAO Dongmei, Research review and prospects for power grid fault diagnosis[J], Automation of Electric Power Systems, 41, 19, pp. 164-175, (2017)
  • [7] CAO Lei, SUN Rigao, CHANG Zhengsheng, Summary and development trend of diagnostic methods for power grid faults[J], Control and Instruments in Chemical Industry, 47, 6, pp. 465-470, (2020)
  • [8] BAI Zhan, MIAO Shihong, SUN Yanbin, Fault diagnosis model based on improved fuzzy Petri net considering time constraints[J], Transactions of China Electrotechnical Society, 31, 23, pp. 107-115, (2016)
  • [9] HU Mingfeng, Yang LIU, Bin HUA, Distributed fault location for distribution networks under optimal configuration of measuring devices[J], Power System Technology, 45, 7, pp. 2616-2622, (2021)
  • [10] CHENG Xuezhen, CHEN Qiang, YU Yongjin, A fault diagnosis approach of power networks based on maximum likelihood decoding petri net models[J], Transactions of China Electrotechnical Society, 30, 15, pp. 46-52, (2015)
123