摘要
提出的基于DS证据理论的电网故障诊断方法可解决由不知道所引起的不确定性。确立电网故障诊断的识别框架后,基于贝叶斯方法实现DS证据的表达,应用Dempster法则得到合成的信度函数,以此判断电网故障元件。基于Matlab编程实现了该算法,分析了单重故障且保护与断路器工作正常,单重故障伴有保护误动与断路器拒动,多重故障伴有保护、断路器误动与拒动三种典型故障情况。算例测试结果表明该方法能够有效地识别故障元件。
A power system fault diagnosis method based on DS evidence theory is proposed, which can deal with uncertainty brought by Unknown. After constructing frame of discernment, DS evidences are expressed based on Bayesian method, and a combined belief function is obtained in terms of Dempster Rule, in accordance with which, the fault elements are recognized. The algorithm is realized by programming based on Matlab, and three typical fault conditions which are single fault with protection and circuit breaker working normally, single fault with misoperation of protection and refuse of circuit breaker, multiple faults with misoperation and refuse of protection and circuit breaker are analyzed. The testing results demonstrate that this method can recognize the fault elements efficiently.
出处
《继电器》
CSCD
北大核心
2008年第9期5-10,共6页
Relay
基金
国家自然科学基金(No.50407009)
四川省杰出青年基金项目(No.06ZQ026-012)
教育部优秀新世纪人才支持计划项目(NCET-06-0799)~~
关键词
电网故障诊断
DS证据理论
信息扩散
信息融合
贝叶斯
power system fault diagnosis
DS evidence theory
information diffusion
information fusion
Bayesian
