引用本文:张 岩,张 勇,文福拴,孙维真,王 超.融合信息理论的电力系统故障诊断解析模型[J].电力自动化设备,2014,34(2):
ZHANG Yan,ZHANG Yong,WEN Fushuan,SUN Weizhen,WANG Chao.Analytical model for power system fault diagnosis integrated with information theory[J].Electric Power Automation Equipment,2014,34(2):
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融合信息理论的电力系统故障诊断解析模型
张 岩1, 张 勇1, 文福拴1, 孙维真2, 王 超2
1.浙江大学 电气工程学院,浙江 杭州 310027;2.浙江省电力公司,浙江 杭州 310007
摘要:
保护与断路器动作的不确定性和警报信息的不确定性是实际电力系统故障诊断时需要考虑的主要问题。以电力系统故障诊断解析模型为基础,融合信息理论中的方法来解决这一问题。阐述了故障诊断的信息运动过程,在此基础上通过解析分析保护与断路器动作逻辑和警报信息之间的关系,发展了基于信息量损失最小的故障诊断优化模型,充分考虑了警报信号的不确定性。采用改进遗传算法求解。用浙江电力系统实际发生的故障案例说明了该方法具有较强的容错能力且诊断速度快,对于复杂故障案例,计算时间在1 s之内,满足在线故障诊断要求。
关键词:  电力系统  故障诊断  警报处理  不确定性  信息理论  信息不完备  继电保护  模型
DOI:
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基金项目:国家科技支撑计划资助项目(2011BAA07B02);浙江省电力公司重点科技项目
Analytical model for power system fault diagnosis integrated with information theory
ZHANG Yan1, ZHANG Yong1, WEN Fushuan1, SUN Weizhen2, WANG Chao2
1.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;2.Zhejiang Electric Power Corporation,Hangzhou 310007,China
Abstract:
How to properly handle the uncertainties associated with the malfunctions of PRs(Protective Relays) and CBs(Circuit Breakers) as well as the false/missing alarms is one of major problems to be addressed in fault diagnosis of actual power systems. The Shannon’s information theory is employed to deal with these uncertainties. First,a communication channel model is presented for the fault diagnosis problem,and the action logics of PRs and CBs as well as the relationship among PRs,CBs and alarms are expressed analytically. A new optimization model for power system fault diagnosis is next developed with the minimization of information loss as the objective,and can well accommodate uncertainties from various sources. Then,an improved genetic algorithm is employed to solve the optimization problem. Finally,actual fault scenarios of Zhejiang power system are served for demonstrating the tolerance capability and diagnosis speed of the developed method,and the diagnosis time is less than one second for complicated fault scenarios. The presented method could be used for on-line fault diagnosis of actual power systems.
Key words:  electric power systems  fault diagnosis  alarm processing  uncertainty  information theory  incomplete information  relay protection  models

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