摘要
为在实际保护、断路器发生误动或相关警报信息出现丢失等异常情况时,仍能保证故障诊断结果的准确性,提出了新的故障诊断方法。该方法首先在覆盖集理论的指导下,基于遥信量建立了改进优化模型;然后利用小波技术对故障录波信息进行分析;最后基于改进证据理论对前2种结果进行数据融合,从而得到精确诊断结果。通过实时数字仿真器(RTDS)上的模型验证了该方法的有效性。
In order to guarantee the accuracy of the fault diagnosis results when actual protections and breakers wrongly act,or the relevant alarms lost and so on,a new fault diagnosis method is proposed.In this method,a typical optimization model based on telemetering data is developed with the guidance of set cover theory.And a wavelet technique is used to analyze the fault recorder information.Finally,results of the above two methods are fused with the improved evidence theory,and therefore the accurate diagnosis results are obtained.The effectiveness of the proposed method has been proved on RTDS.
出处
《电力系统自动化》
EI
CSCD
北大核心
2012年第1期61-65,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50807037)
上海市科学技术委员会资助课题(09dz1205703)~~
关键词
电网
故障诊断
优化模型
覆盖集理论
小波技术
证据理论
信息融合
power grid
fault diagnosis
optimization model
set cover theory
wavelet technique
evidence theory
information fusion