OUYANG Sen, XU Weidong. Power Grid Fault Identification and Cause Identification Method Considering External Environmental Information[J]. 2021, 47(3): 1075-1082.
OUYANG Sen, XU Weidong. Power Grid Fault Identification and Cause Identification Method Considering External Environmental Information[J]. 2021, 47(3): 1075-1082.DOI:
考虑外部环境信息的电网故障识别与原因分析方法
摘要
为提高电网故障诊断方法对于外部环境信息的利用率
并在故障识别的基础上实现对故障原因的分析
设计了一种考虑外部环境信息的电网故障识别与原因分析方法。首先
针对各故障判别依据权重固化的问题
分析了断路器和保护告警信息的差异性与可信度
利用层次分析法(analytic hierarchy process
AHP)权重分析方法赋予可信度较高的信息较大的权重
从而降低误报、漏报信息的影响
提高故障诊断的准确度。其次
针对现有故障诊断方法缺乏故障原因分析功能的缺陷
引入了外部环境信息(计及信息类型及其告警等级)作为故障原因分析的判据
应用模糊综合评判(fuzzy comprehensive evaluation
FCE)法进行环境因素对电网的危害评估
判断该故障是否由外部因素导致
继而实现故障原因的辨识。最后
建立保护动作告警信息漏报、误报以及断路器据动、误动故障场景下的故障算例进行仿真验证。研究结果表明
所提方法能够有效利用多种故障相关信息
提高故障识别结果的准确性
并能够进一步分析出故障原因。所提方法可有效提高电网故障诊断工作效率
保障供电可靠性。
Abstract
To improve the utilization rate of external environmental information of power grid fault diagnosis method and to realize the analysis of the fault causes on the basis of fault identification
we design a method for power grid fault identification and cause analysis in which external environmental information is taken into consideration. First
to solve the problem of solidified weight of fault diagnosis criterion
we analyze the difference and credibility of the alarm information of the circuit breaker and the protection. The analytic hierarchy process(AHP) weight analysis method is used to give greater weight to the information with higher credibility
so that the impact of wrong alarm information can be reduced
and the accuracy of fault diagnosis can be improved. Secondly
for the lack of fault cause analysis
environmental information(the type of information and its alarm level) is introduced as the fault cause analysis criteria
and the fuzzy comprehensive evaluation(FCE) method is used to evaluate the damage caused by the environmental factors to the grid and to further determine whether the fault is caused by environmental factors; thereby
the further identification of fault causes will be carried out. Finally
simulation verification is carried out by establishing the failure calculation examples in the case of protection action alarm information under-reporting and false-reporting
as well as scenarios of circuit breaker refusing to operate and mis-operating. The research results show that the proposed method can effectively use a variety of fault-related information
and can be adopted to improve the accuracy of fault identification results and to further analyze the cause of faults. Therefore
the method can be adopted to effectively improve the efficiency of power grid fault diagnosis and ensure the reliability of power supply.