基于信号包络与希尔伯特边际谱的高阻接地故障检测方法

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Abstract The diagnosis of high-impedance fault (HIF) is a critical challenge due to the presence of faint signals that exhibit distortion and randomness. In this study, a novel diagnostic approach for HIF based on the signal envelope (SE) and Hilbert marginal spectrum (HMS) is proposed. Longer timescale zero-sequence voltage is used to extract SE and HMS, representing HIF distortion and randomness characteristics. These features are transformed into images, and ResNet18 is employed to detect the presence of HIF. An industrial prototype of the proposed approach has been implemented and validated in a 10kV test system. The experimental results indicate that the proposed approach outperforms the comparison by a significant margin regarding detection accuracy, particularly in resonant distribution system.

Key words： resonant grounding system high-impedance fault (HIF) fault detection deep learning signal envelope (SE) Hilbert marginal spectrum (HMS)

Received: 18 February 2024

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	Articles by authors
	LI Kuanhong
	LIN Jinshu
	JIANG Jie
	ZHU Shaofen
	XIAO Zhongbo

Cite this article:

LI Kuanhong,LIN Jinshu,JIANG Jie等. High-impedance fault detection method based on signal envelope and Hilbert marginal spectrum[J]. Electrical Engineering, 2024, 25(6): 39-46.

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http://dqjs.cesmedia.cn/EN/Y2024/V25/I6/39

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