Abstract：The operation and fault conditions of non-effectively grounded distribution networks are complex and variable. It is difficult to effectively cover different fault conditions in the existing distribution network ground fault line selection methods. Especially for high-impedance grounding fault and arc-grounding fault, the criterion based on a single fault characteristic has a high rate of false positives. In this paper, a new method of grounding fault line selection for distribution networks based on fuzzy measures integrated diagnosis is proposed. By means of fuzzy C-means clustering algorithm, the historical characteristic sample sets that characterize the different operating states of the protected lines collected under various operating conditions are divided. A variety of sample similarity measure criteria are used to analyze the degree of similarity between the sample to be tested and the faulty and non-faulty categories to form a fuzzy measure integrated diagnosis matrix, and the matrix is evaluated by the multi-stage judgment indicator system. According to the matrix judgment, the fault characteristics are amplified, the influence of accidental factors on the fault judgment is weakened, and finally the comprehensive judgment matrix is used to accurately identify the fault samples. The results of PSCAD/EMTDC simulation and 10kV true experimental test show that under the influence of non-linear load and other disturbance factors, this method can still accurately capture fault characteristics and correctly identify fault samples under various fault conditions. It has the ability to adapt to changes in the operation mode of different systems, and has strong robustness.
喻锟, 胥鹏博, 曾祥君, 李理, 杨理斌. 基于模糊测度融合诊断的配电网接地故障选线[J]. 电工技术学报, 2022, 37(3): 623-633.
Yu Kun, Xu Pengbo, Zeng Xiangjun, Li Li, Yang Libin. Grounding Fault Line Selection of Distribution Networks Based on Fuzzy Measures Integrated Diagnosis. Transactions of China Electrotechnical Society, 2022, 37(3): 623-633.
[1] 周兴达, 陆帅. 一种基于消弧线圈和静止同步补偿器协同作用的配电网消弧结构与方法[J]. 电工技术学报, 2019, 34(6): 1251-1262. Zhou Xingda, Lu Shuai.An arc-suppression method based on the coordinated operation of the petersen coil and the static synchronous compensator in distribution networks[J]. Transactions of China Electrotechnical Society, 2019, 34(6): 1251-1262. [2] 余银钢, 洪新春, 李岭, 等. 基于电力物联网的配电网断线故障识别技术[J]. 电气技术, 2020, 21(7): 76-79. Yu Yingang, Hong Xinchun, Li Ling, et al.Fault identification technology based on power internet of things[J]. Electrical Engineering, 2020, 21(7): 76-79. [3] 要焕年, 曹梅月. 电力系统谐振接地[M]. 北京: 中国电力出版社, 2000. [4] 董俊, 李一凡, 束洪春, 等. 配电网馈出线路单相永久性接地故障性质辨识方法[J]. 电工技术学报, 2020, 35(21): 4576-4585. Dong Jun, Li Yifan, Shu Hongchun, et al.Study on identification method of single phase permanent ground fault in distribution network feedout line[J]. Transactions of China Electrotechnical Society, 2020, 35(21): 4576-4585. [5] 徐丙垠, 薛永端, 冯光, 等. 配电网接地故障保护若干问题的探讨[J]. 电力系统自动化, 2019, 43(20): 1-7. Xu Bingyin, Xue Yongduan, Feng Guang, et al.Discussion on several problems of earthing fault protection in distribution network[J]. Automation of Electric Power Systems, 2019, 43(20): 1-7. [6] 肖湘宁, 廖坤玉, 唐松浩, 等. 配电网电力电子化的发展和超高次谐波新问题[J]. 电工技术学报, 2018, 33(4): 707-720. Xiao Xiangning, Liao Kunyu, Tang Songhao, et al.Development of power-electronized distribution grids and the new supraharmonics issues[J]. Transactions of China Electrotechnical Society, 2018, 33(4): 707-720. [7] 郭凤仪, 高洪鑫, 唐爱霞, 等. 局部二值模式直方图匹配的串联故障电弧检测及选线[J]. 电工技术学报, 2020, 35(8): 1653-1661. Guo Fengyi, Gao Hongxin, Tang Aixia, et al.Series arc fault detection and line selection based on local binary pattern histogram matching[J]. Transactions of China Electrotechnical Society, 2020, 35(8): 1653-1661. [8] 龙毅, 欧阳金鑫, 熊小伏, 等. 基于零序功率变化量的配电网单相高阻接地保护[J]. 电工技术学报, 2019, 34(17): 3687-3695. Long Yi, Ouyang Jinxin, Xiong Xiaofu, et al.Protection principle of single-phase high resistance fault for distribution network based on zero-sequence power variation[J]. Transactions of China Electrotechnical Society, 2019, 34(17): 3687-3695. [9] 束洪春, 李一凡, 田鑫萃, 等. 基于交叉重叠差分变换关联性分析的配电网故障选线[J]. 电力系统自动化, 2019, 43(6): 137-144. Shu Hongchun, Li Yifan, Tian Xincui, et al.Distribution network fault line selection based on correlation analysis of sequential overlapping derivative transform[J]. Automation of Electric Power Systems, 2019, 43(6): 137-144. [10] 高杰, 程启明, 程尹曼, 等. 基于量子遗传双稳态系统的配电网故障选线方法[J]. 电力自动化设备, 2018, 38(5): 164-170. Gao Jie, Cheng Qiming, Cheng Yinman, et al.Faulty line selection method based on quantum genetic bistable system for distribution network[J]. Electric Power Automation Equipment, 2018, 38(5):164-170. [11] 樊淑娴, 徐丙垠, 张清周. 注入方波信号的经消弧线圈接地系统故障选线方法[J]. 电力系统自动化, 2012, 36(4): 91-95. Fan Shuxian, Xu Bingyin, Zhang Qingzhou.A new method for fault line selection in distribution system with arc suppression coil grounding with square-wave signal injection[J]. Automation of Electric Power Systems, 2012, 36(4): 91-95. [12] 王守相, 梁栋, 葛磊蛟. 智能配电网态势感知和态势利导关键技术[J]. 电力系统自动化, 2016, 40(12): 2-8. Wang Shouxiang, Liang Dong, Ge Leijiao.Kay technologies of situation awareness and orientation for smart distribution systems[J]. Automation of Electric Power Systems, 2016, 40(12): 2-8 [13] 邓丰, 梅龙军, 唐欣, 等. 基于时频域行波全景波形的配电网故障选线方法[J]. 电工技术学报, 2021, 36(13): 2861-2870. Deng Feng, Mei Longjun, Tang Xin, et al.Faulty line selection method of distribution network based on time-frequency traveling wave panoramic waveform[J]. Transactions of China Electrotechnical Society, 2021, 36(13): 2861-2870. [14] 胡伟, 李勇, 曹一家, 等. 基于LOF和SVM的智能配电网故障辨识方法[J]. 电力自动化设备, 2016, 36(6): 7-12. Hu Wei, Li Yong, Cao Yijia, et al.Fault identification based on LOF and SVM for smart distribution network[J]. Electric Power Automation Equipment, 2016, 36(6): 7-12. [15] 王磊, 曹现峰, 骆玮. 基于改进PSO优化模糊神经网络的配电网故障选线研究[J]. 电气技术, 2016, 17(3): 30-35. Wang Lei, Cao Xianfeng, Luo Wei.Research on fault line detection for distribution network based on improved PSO to optimize fuzzy neural network[J]. Electrical Engineering. 2016, 17(3): 30-35. [16] 王英英, 罗毅, 涂光瑜. 基于贝叶斯公式的似然比形式的配电网故障定位方法[J]. 电力系统自动化, 2005, 29(19): 54-57. Wang Yingying, Luo Yi, Tu Guangyu.Fault location based on Bayes probability likelihood ratio for distribution net works[J]. Automation of Electric Power Systems, 2005, 29(19): 54-57. [17] 唐金锐, 尹项根, 张哲, 等. 配电网故障自动定位技术研究综述[J]. 电力自动化设备, 2013, 33(5): 7-13. Tang Jinrui, Yin Xianggen, Zhang Zhe, et al.Survey of fault location technology for distribution networks[J]. Electric Power Automation Equipment, 2013, 33(5):7-13. [18] 兰华, 朱锋. 基于模糊粗糙集和GA-BP神经网络的配电网故障选线方法[J]. 南方电网技术, 2013, 7(1): 90-94. Lan Hua, Zhu Feng.Faulty line detection method for distribution network based on fuzzy rough sets and GA-BP neural network[J]. Southern Power Grid Technology, 2013, 7(1): 90-94. [19] 简金宝, 王媛媛, 曾祥君, 等. 基于系统聚类分析的馈线接地保护[J]. 电力系统自动化, 2013, 37(5): 111-116. Jian Jinbao, Wang Yuanyuan, Zeng Xiangjun, et al.Earth fault feeder detection based on hierarchical clustering analysis[J]. Automation of Electric Power Systems, 2013, 37(5): 111-116. [20] 徐彪, 尹项根, 张哲, 等. 电网故障诊断的分阶段解析模型[J]. 电工技术学报, 2018, 33(17): 4113-4122. Xu Biao, Yin Xianggen, Zhang Zhe, et al.A staged analytical model for power system fault diagnosis[J]. Transactions of China Electrotechnical Society, 2018, 33(17): 4113-4122. [21] 陈胜, 卫志农, 孙国强, 等. 电-气互联综合能源系统安全分析与优化控制研究综述[J]. 电力自动化设备, 2019, 39(8): 3-11. Chen Sheng, Wei Zhinong, Sun Guoqiang, et al.Review on security analysis and optimal control of electricity-gas integrated energy system[J]. Electric Power Automation Equipment, 2019, 39(8): 3-11.
2022, Vol. 37 
