基于KNN的配电网高阻接地故障识别

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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.

Key words： MV distribution networks HIF HHT band-pass filter RMS KNN

Received: 16 July 2018 Published: 15 January 2019

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	Articles by authors
	Liu Bingnan
	Guo Moufa
	Chen Yongwang

Cite this article:

Liu Bingnan,Guo Moufa,Chen Yongwang. High resistance grounding fault identification in distribution network based on KNN[J]. Electrical Engineering, 2019, 20(1): 18-23.

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http://dqjs.cesmedia.cn/EN/Y2019/V20/I1/18

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