Faulted Line Segment Location Method for Low-Voltage Distribution Network Based on Adjacency Matrix

doi:10.11930/j.issn.1004-9649.202105071

Abstract

Abstract: The low-voltage distribution network is characterized by short feeder line sections, a large number of line branches, and a complex and changeable topology, and the integration of distributed generation further complicates the faulted line segment location problem. This paper investigates a novel faulted line segment location algorithm by combining the graph theory and artificial intelligence algorithm. Firstly, the adjacency matrix corresponding to the configuration of the fault monitoring units in distribution network is built, then the connectivity equivalent model of fault current in the topology of fault monitoring units is established. The monitoring information of the fault monitoring unit is calculated according to the shortest path from the power source to the estimated fault line section. Based on these works, the fault line segment location model of low-voltage distribution network considering multiple faults is developed, and the particle swarm optimization algorithm is used to solve the model. The results of simulation examples show that the proposed method can effectively improve the efficiency and accuracy of fault location.

Key words: low-voltage distribution network, fault section location, adjacency matrix, the shortest path, particle swarm optimization algorithm

YAO Yongfeng, WANG Qizhe, WANG Huiping, JIA Jia, XIA Xibin. Faulted Line Segment Location Method for Low-Voltage Distribution Network Based on Adjacency Matrix[J]. Electric Power, 2021, 54(11): 91-96,114.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202105071

https://www.electricpower.com.cn/EN/Y2021/V54/I11/91

References

[1] 季亮, 张海涛, 任建铭, 等. 基于逆变型DG控制特性的微电网故障特征分析[J]. 中国电力, 2017, 50(12): 165–172.
JI Liang, ZHANG Haitao, REN Jianming, et al. New microgrid fault analysis method based on inverter-type DG characteristic[J]. Electric Power, 2017, 50(12): 165–172.
[2] 张磐, 张愉, 丁一, 等. 基于微扰法的低压有源配电网故障定位方法[J]. 中国电力, 2018, 51(12): 63–71
ZHANG Pan, ZHANG Yu, DING Yi, et al. Fault location for low voltage active distribution network based on perturbation method[J]. Electric Power, 2018, 51(12): 63–71
[3] 王晓卫, 张涛, 田书, 等. 基于近似熵的小电流接地系统故障区段定位方法[J]. 中国电力, 2012, 45(3): 1–6
WANG Xiaowei, ZHANG Tao, TIAN Shu, et al. A novel fault location method based on the approximate entropy for small current grounding system[J]. Electric Power, 2012, 45(3): 1–6
[4] 葛军凯, 张静, 李题印. 测控区和非测控区并存的配电网故障定位实用方法[J]. 山东工业技术, 2016(24): 213–214
[5] 廖碧莲, 高中林, 唐江琦, 等基于图论的主动配电网集中式方向保护研究[J]. 智慧电力, 2019, 47(8): 55-62.
LIAO Bilian, GAO Zhonglin, TANG Jiangqi, et al. Active distribution network centralized direction protection based on graph theory[J]. Smart Power, 2019, 47(8): 55-62.
[6] 徐新民, 马振亮. 基于拓扑划分的配电网故障定位新算法[J]. 中国电力, 2012, 45(5): 20–24
XU Xinmin, MA Zhenliang. A novel algorithm for fault location in a distribution network based on topology division[J]. Electric Power, 2012, 45(5): 20–24
[7] 胡福年, 孙守娟. 基于图论的矩阵算法在配电网故障定位中的应用[J]. 中国电力, 2016, 49(3): 94–98
HU Funian, SUN Shoujuan. Fault location of distribution network by applying matrix algorithm based on graph theory[J]. Electric Power, 2016, 49(3): 94–98
[8] 李奔, 吴强. 基于配电网等效解耦的配电网故障定位算法[J]. 电气自动化, 2019, 41(3): 70–72,77
Li Ben, WU Qiang. Fault localization algorithm for the distribution system based on its equivalent decoupling[J]. Electrical Automation, 2019, 41(3): 70–72,77
[9] 彭克, 张聪, 徐丙垠, 等. 含高密度分布式电源的配电网故障分析关键问题[J]. 电力系统自动化, 2017, 41(24): 184–192
PENG Ke, ZHANG Cong, XU Bingyin, et al. Key issues of fault analysis on distribution system with high-density distributed generations[J]. Automation of Electric Power Systems, 2017, 41(24): 184–192
[10] 孟飞, 邱雷, 常振军. 低压配电网故障定位系统设计[J]. 设备管理与维修, 2019(1): 138–139
[11] 王玲, 邓志, 马明, 等. 基于状态估计残差比较的配电网故障区段定位方法[J]. 电力系统保护与控制, 2021, 49(14): 132–139
WANG Ling, DENG Zhi, MA Ming, et al. A method for locating fault sections in distribution networks based on the comparison of state estimation residual errors[J]. Power System Protection and Control, 2021, 49(14): 132–139
[12] 魏然, 张磐, 高强伟, 等. 基于网络树状图的低压配电网故障研判仿真分析[J]. 电力系统保护与控制, 2021, 49(13): 167–173
WEI Ran, ZHANG Pan, GAO Qiangwei, et al. Simulation analysis of low-voltage distribution network fault diagnosis based on tree structure diagram[J]. Power System Protection and Control, 2021, 49(13): 167–173
[13] 续立强. 基于小波分析的输电线路故障定位研究[D]. 济南: 齐鲁工业大学, 2021.
XU Liqiang. Research on fault location of transmission line based on wavelet analysise[D]. Jinan: Qilu University of Technology, 2021.
[14] 胡福年, 张认, 卞小亮. 基于图论的主动配电网故障定位方法[J]. 控制工程, 2021, 28(5): 833–838
HU Funian, ZHANG Ren, BIAN Xiaoliang. Fault location method of active distribution network based on graph theory[J]. Control Engineering of China, 2021, 28(5): 833–838
[15] 孔祥平, 张哲, 尹项根, 等. 含逆变型分布式电源的电网故障电流特性与故障分析方法研究[J]. 中国电机工程学报, 2013, 33(34): 65–74
KONG Xiangping, ZHANG Zhe, YIN Xianggen, et al. Study on fault current characteristics and fault analysis method of power grid with inverter interfaced distributed generation[J]. Proceedings of the CSEE, 2013, 33(34): 65–74
[16] 何哲, 王瑞峰, 郝溪. 含分布式电源配电网单相接地故障测距研究[J]. 郑州大学学报(理学版), 2016, 48(1): 85–90
HE Zhe, WANG Ruifeng, HAO Xi. Research on single phase to ground fault location for electric power distribution systems with distributed generation[J]. Journal of Zhengzhou University(Natural Science Edition), 2016, 48(1): 85–90
[17] 付家才, 陆青松. 基于蝙蝠算法的配电网故障区间定位[J]. 电力系统保护与控制, 2015, 43(16): 100–105
FU Jiacai, LU Qingsong. Fault sections location of distribution network based on bat algorithm[J]. Power System Protection and Control, 2015, 43(16): 100–105
[18] 郑涛, 潘玉美, 郭昆亚, 等. 基于免疫算法的配电网故障定位方法研究[J]. 电力系统保护与控制, 2014, 42(1): 77–83
ZHENG Tao, PAN Yumei, GUO Kunya, et al. Fault location of distribution network based on immune algorithm[J]. Power System Protection and Control, 2014, 42(1): 77–83
[19] 金涛, 李鸿南, 刘对. 基于BPSOGA的含风电机组的配电线路故障区段定位[J]. 电力自动化设备, 2016, 36(6): 27–33
JIN Tao, LI Hongnan, LIU Dui. Faulty section location based on BPSOGA for distribution line with wind turbine generator[J]. Electric Power Automation Equipment, 2016, 36(6): 27–33
[20] 王秋杰, 金涛, 刘军. 计及FTU漏报和误报的配电网故障定位分层解析模型[J]. 电力自动化设备, 2019, 39(1): 141–147
WANG Qiujie, JIN Tao, LIU Jun. Hierarchical analytic model for fault location of distribution network considering FTU missing and false positives[J]. Electric Power Automation Equipment, 2019, 39(1): 141–147
[21] 李佳玮, 王小君, 和敬涵, 等. 基于图注意力网络的配电网故障定位方法[J]. 电网技术, 2021, 45(6): 2113–2121
LI Jiawei, WANG Xiaojun, HE Jinghan, et al. Distribution network fault location based on graph attention network[J]. Power System Technology, 2021, 45(6): 2113–2121
[22] 吴笛. 低压配电网故障分析以及安全维护措施[J]. 中国设备工程, 2020(21): 48–50
[23] 赵卫斌, 王敬华, 方善忠. 基于边端协同的小电流接地故障区段定位方法[J]. 电测与仪表, 2021, 58(2): 1–7
ZHAO Weibin, WANG Jinghua, FANG Shanzhong. Section location method of small current ground fault based on edge-end coordination[J]. Electrical Measurement & Instrumentation, 2021, 58(2): 1–7
[24] 孙孔明. 配电网故障区段定位及拓扑重构方法[D]. 济南: 山东大学, 2018.
SUN Kongming. Study on power distribution system fault location and topology reconfiguration[D]. Jinan: Shandong University, 2018.
[25] 卫志农, 王亮, 周红军, 等. 基于拓扑分析的电能表编码方法[J]. 电力系统自动化, 2004, 28(7): 75–77,89
WEI Zhinong, WANG Liang, ZHOU Hongjun, et al. Coding method of watt-hour meter based on topology analysis[J]. Automation of Electric Power Systems, 2004, 28(7): 75–77,89