基于最大概率的故障指示器故障判定方法

郑国华; 黄朵; 张伟; 吴孝彬; 赵建勋; 梁安韬; 梁丽军

引用本文:	郑国华,黄朵,张伟,等.基于最大概率的故障指示器故障判定方法[J].电力系统保护与控制,2017,45(16):105-110.
	ZHENG Guohua,HUANG Duo,ZHANG Wei,et al.A method for fault diagnosis of fault indicator based on maximum probability[J].Power System Protection and Control,2017,45(16):105-110

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基于最大概率的故障指示器故障判定方法
郑国华¹,黄朵¹,张伟²,吴孝彬³,赵建勋³,梁安韬³,梁丽军³
(1.福建电力职业技术学院，福建泉州362000;2.积成电子股份有限公司，山东济南 250100; 3.福建奥通迈胜电力科技有限公司，福建福州350000)

摘要:

为解决配电网故障指示器信号错报及漏报情况下的故障判定问题，分析了故障指示器的特点，提出了配电网最小故障判定区域的概念。基于配电网最小故障判定区域建立了故障指示器故障判定数学模型。分析了故障指示器信号特点，以“三选二”原则提出了一种基于概率的故障指示器组合信号处理方法。结合最小故障判定区域模型和故障指示器组合信号，以故障指示器之间的相互依赖关系为依托，提出了一种基于最大概率的故障指示器故障判定方法。该方法以各区域假设故障后的模拟故障信号与实际情况下的故障信号之间的相似度表征故障发生的最大可能区域，并给出了详细公式。该方法在故障信号漏报和错报较少情况下具有很好的容错性，能够较为准确地确定故障区域。并且给出各个区域的可能概率，提供了故障备选方案，方便调度与运检人员干预排查故障，具有较好的现场应用价值。

关键词: 配电网最大概率故障指示器故障判定

DOI：10.7667/PSPC161288

分类号:

基金项目:

A method for fault diagnosis of fault indicator based on maximum probability

ZHENG Guohua¹,HUANG Duo¹,ZHANG Wei²,WU Xiaobin³,ZHAO Jianxun³,LIANG Antao³,LIANG Lijun³

(1. Fujian Electric Power Technical College, Quanzhou 362000, China;2. Jicheng Electronics Corporation, Jinan 250100, China;3. Fujian Automation Electric Power Technology Co., Ltd., Fuzhou 350000, China)

Abstract:

In order to solve the problem of distribution fault diagnosis in case of misreporting or failed-report of fault indicator information, the characteristics of the fault indicator are analyzed, and the concept of the minimum fault judgment area of the distribution network is developed. Based on which, the mathematical model of fault indicator fault diagnosis is evaluated. The characteristics of fault indicator signals are analyzed. Based on two-in-three principle, a probabilistic fault indicator combination signal processing method is proposed. Based on the combination of the minimum fault judgment area model, the fault indicator combination signal and the interdependence between the fault indicators, a fault diagnosis method based on maximum probability is proposed. The method is based on the similarity between the simulated fault signal and the real fault signal, and the detailed formula is given. The method has good fault-tolerance in the case of misreporting or failed-report of fault indicator information, which can more accurately determine the fault area. The probability of each region is given, and fault alternatives are provided. The proposed approach is feasible and valuable for the dispatching and maintenance personnel to deal with the fault.

Key words: distribution network maximum probability fault indicator fault judgment

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