采用灰色关联分析的广域集中式故障区段定位

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Abstract When a single-phase ground fault occurs in a small-current grounding system, the transient zero-sequence current of the healthy section is similar to each other, and the transient zero-sequence current on both sides of the fault point is low in similarity and the waveform difference is large. Based on this feature, a wide-area centralized fault segment location method based on grey correlation analysis is proposed. The method utilizes the centralized structure constructed by the wide-area measurement system to solve the synchronous acquisition problem of the transient zero-sequence current signal, and from the perspective of reducing the communication volume of the system and the calculation amount of the centralized decision center, collect fault information only for each segment of the faulty line. The gray correlation analysis is used to obtain the absolute correlation degree between adjacent detection points, and the degree of difference between the fault section and the non-fault section is described according to the degree of correlation degree. Determining a section with a lowest correlation degree as a fault section. The simulation results show that the positioning result of this method is accurate and reliable, and is not affected by the fault angle, grounding resistance and fault location.

Key words： small current grounding system fault segment location wide-area centralized grey correlation analysis

Received: 17 January 2019 Published: 19 August 2019

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	Articles by authors
	Li Shengjian
	Zhao Jianwen
	Ma Nanbing
	Shi Xin
	Guo Liang

Cite this article:

Li Shengjian,Zhao Jianwen,Ma Nanbing等. Wide-area centralized fault section location using grey correlation analysis[J]. Electrical Engineering, 2019, 20(8): 90-94.

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http://dqjs.cesmedia.cn/EN/Y2019/V20/I8/90

[1] 张利, 李萍. 配电网在线故障定位方法研究[J]. 电气技术, 2017, 18(9): 49-52, 56.
[2] 何连杰, 史常凯, 闫卓, 等. 基于广义S变换能量相对熵的小电流接地系统故障区段定位方法[J]. 电工技术学报, 2017, 32(8): 274-280.
[3] 黄超艺, 杨赞锋, 吴荣福, 等. 采用皮尔逊相关性的故障区段定位新方法[J]. 电气技术, 2018, 19(6): 56-60, 68.
[4] 王彦文, 卢丹, 高彦. 基于广域同步测量技术的煤矿高压电网故障区段定位算法[J]. 煤炭学报, 2015(S1): 285-291.
[5] 孙波, 孙同景, 薛永端, 等. 基于暂态信息的小电流接地故障区段定位[J]. 电力系统自动化, 2008, 32(3): 52-55.
[6] 卢继平, 徐兵. 基于小波包能量相对熵的配电网单相接地故障区段定位[J]. 电力系统保护与控制, 2012(20): 26-31.
[7] Borghetti A, Bosetti M, Di Silvestro M, et al.Continuous-Wavelet transform for fault location in distribution power networks: definition of mother wavelets inferred from fault originated transients[J]. IEEE Transactions on Power Systems: A Publication of the Power Engineering Society, 2008, 23(2): 380-388.
[8] Pourahmadi-Nakhli M, Safavi A A.Path characteristic frequency-based fault locating in radial distribution systems using wavelets and neural networks[J]. IEEE Transactions on Power Delivery, 2011, 26(2): 772-781.
[9] 刘鹏辉, 黄纯. 基于动态时间弯曲距离的小电流接地故障区段定位方法[J]. 电网技术, 2016(3): 952-957.
[10] 孙桂花, 王敬华, 张璇, 等. 分布式智能的小电流接地故障定位方法[J]. 电力系统保护与控制, 2017, 45(16): 72-78.
[11] 刘建锋, 张科曌, 田权, 等. 基于序电流灰色关联分析与多信息融合的广域后备保护算法[J]. 电力系统保护与控制, 2018, 46(19): 19-25.
[12] 梁睿, 王崇林. 零序暂态电流灰色关联分析的小电流接地选线[J]. 中南大学学报(自然科学版), 2010, 41(2): 585-591.
[13] 中国电力科学研究院. 智能电网广域监测分析与控制技术[M]. 北京: 中国电力出版社, 2015.
[14] 宋秀芳. 基于广域相量测量的小电流接地系统单相接地故障区段定位研究[J]. 电气技术, 2017, 18(2): 46-48, 88.
[15] 汤涛, 黄纯, 江亚群, 等. 基于馈线零序阻抗特性的谐振接地故障选线方法[J]. 电工技术学报, 2016, 31(20): 192-201.
[16] 刘琦, 邰能灵, 范春菊, 等. 不对称参数同塔四回线的综合横差保护方案[J]. 电工技术学报, 2016, 31(22): 159-167, 177.
[17] 赵建文, 刘永佳, 梁静, 等. 基于改进FastICA及Romanovsky准则的故障选线[J]. 中国电机工程学报, 2016(19): 5209-5218.