一种基于经验模态分解和局部极大值点数的配电网高阻接地故障检测方法

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摘要配电网高阻接地故障（HIF）因故障特征微弱而难以被常规装置检测到,容易引发过电压、火灾和人身触电等安全问题。本文提出一种将时频分解和阈值判断结合的HIF识别方法。首先,利用经验模态分解（EMD）对零序电流进行处理;然后,选取第二个固有模态分量（IMF）作为特征分量并进行高斯滤波;最后,统计特征分量的局部极大值点的个数来判断是否发生HIF。利用PSCAD/EMTDC软件搭建10kV配电网模型进行算法验证。仿真结果表明,所提方法能够以较高的准确率将HIF和一些常见的干扰事件区分开,并且在发生噪声干扰、采样率变化、系统中性点接地方式改变及系统网络结构改变的情况下,均表现出较好的适应性。

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	唐钧益
	曾肖枫
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关键词 ：配电网, 高阻接地故障（HIF）, 经验模态分解（EMD）, 局部极大值点数

Abstract：The high impedance-grounding fault (HIF) of the distribution network is difficult to detect with conventional equipment due to its weak fault characteristics, which may cause safety issues such as overvoltage, fire, and personal electric shock. This paper introduces a HIF recognition method that combines time-frequency decomposition and threshold judgment. Initially, the zero-sequence current is processed using empirical mode decomposition (EMD). Subsequently, the second intrinsic mode function (IMF) is selected as the feature component and undergoes Gaussian filtering. Ultimately, the number of local maximum points of the feature component is counted to determine whether HIF has occurred. A 10kV distribution network model is constructed using PSCAD/EMTDC software to verify the algorithm. Experimental results indicate that the proposed method can effectively distinguish HIF from various common interference events with a high level of accuracy. Furthermore, it exhibits good adaptability under conditions of noise interference, changes in sampling rate, alterations in the grounding mode of the system's neutral point, and modifications to the system's structure.

Key words： distribution network high impedance-grounding fault (HIF) empirical mode decomposition (EMD) local maximum point number

收稿日期: 2024-01-15

作者简介: 唐钧益（1998—）,男,福建省福州市人,硕士研究生,主要从事配电网高阻接地故障诊断的研究工作。

引用本文:

唐钧益, 曾肖枫, 高伟. 一种基于经验模态分解和局部极大值点数的配电网高阻接地故障检测方法[J]. 电气技术, 2024, 25(6): 14-23. TANG Junyi, ZENG Xiaofeng, GAO Wei. A high impedance-grounding fault detection method for distribution network based on empirical mode decomposition and local maximum point number. Electrical Engineering, 2024, 25(6): 14-23.

链接本文:

http://dqjs.cesmedia.cn/CN/Y2024/V25/I6/14

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