融合信息理论的电力系统故障诊断解析模型  

Analytical model for power system fault diagnosis integrated with information theory

作　　者：张岩[1] 张勇[1] 文福拴[1] 孙维真[2] 王超[2] 

机构地区：[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

出　　处：《电力自动化设备》2014年第2期158-164,174,共8页Electric Power Automation Equipment

基　　金：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~~

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。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.

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 

分 类 号：TM711[电气工程—电力系统及自动化]