现代电力2024，Vol.41Issue(3)：401-411,11.DOI:10.19725/j.cnki.1007-2322.2022.0270
考虑保护启动信息的电网故障诊断解析模型及告警方法
Analytic Model and Alarming Method of Grid Fault Diagnosis Considering Protection Startup Information
摘要
Abstract
When a fault occurs in the high-voltage power grid,the existing fault diagnosis analytical model will misjudge when the key protection or circuit breaker components mis-op-erate or the information is falsely reported or missed.In order to solve this problem,this paper proposes a power grid fault diagnosis analytical model and alarm method considering pro-tection start-up information.Fristly,on the basis of the tradi-tional fault diagnosis analytical model,the difference between the expected start-up state and the actual state of the protection is added,and the fitness function of the power grid fault dia-gnosis considering the start-up information of the protection is constructed.Based on the particle swarm optimization al-gorithm,the fault components are obtained by optimization cal-culation,which solves the problem that the key protection or circuit breaker components have mis-operation or information false alarm and missed alarm.Secondly,based on the obtained fault component,the protection start-up information is used to generate the protection start-up level diagram to alarm the ab-normal protection.Finally,the whole fault process is analyzed by the method of inference chain.The sensitivity and accuracy of the new analytical model are greatly improved compared with the traditional method,and the protection alarm method considering the protection start-up information can warn the protection with abnormal start-up information in advance,which has a good application prospect.关键词
故障诊断/解析模型/高压电网/启动信息/保护告警Key words
fault diagnosis/analytical model/high voltage power grid/startup information/protect alarms分类
信息技术与安全科学引用本文复制引用
曹祺,肖仕武,焦邵麟,周放歌..考虑保护启动信息的电网故障诊断解析模型及告警方法[J].现代电力,2024,41(3):401-411,11.基金项目
国家重点研发计划项目(2016YFB0900500).Project Supported by National Key Research & Development Program of China(2016YFB0900500). （2016YFB0900500）
