High resistance grounding fault identification in distribution network based on KNN
Liu Bingnan1, Guo Moufa1, Chen Yongwang2
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116; 2. State Grid Jinjiang Electric Power Supply Company, Quanzhou, Fujian 353000
Abstract：The distribution network is affected by actual factors, and high impedance ground faults occur when contact with highimpedance surfaces during operation.When high impedance grounding fault occurs, the resistance of the fault point is large, and the sudden change of voltage and current is not obvious. Conventional protection is difficult to operate accurately. High resistance grounding fault is often accompanied by arc extinguishment and reignition. If the fault exists for a long time, it will lead to permanent damage of electrical equipment and even accidents of personal electric shock. In this paper, the HHT bandpass filter is used to construct the time-frequency matrix of the three-phase voltage and zero sequence voltage of the bus, and the standard deviation is taken as the eigenvector for each frequency band. Finally, the fault identification is carried out by using the K nearest neighbor algorithm.
刘炳南, 郭谋发, 陈永往. 基于KNN的配电网高阻接地故障识别[J]. 电气技术, 2019, 20(1): 18-23.
Liu Bingnan, Guo Moufa, Chen Yongwang. High resistance grounding fault identification in distribution network based on KNN. Electrical Engineering, 2019, 20(1): 18-23.
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2019, Vol. 20 
