电测与仪表2024，Vol.61Issue(7)：1-6,6.DOI:10.19753/j.issn1001-1390.2024.07.001
基于深度置信网络的电网安全稳定控制系统故障诊断方法
Fault diagnosis method of power grid security and stability control system based on deep belief network
摘要
Abstract
The security and stability control system(security control system)has many control nodes and a long control chain.If it refuses to act or malfunction due to a fault,it will cause hazard to the operation of the power grid.The fault diagnosis of the security control system is the basis for the safe and stable operation of the power sys-tem.The fault diagnosis of the existing security control system mainly relies on the technical personnel to assist in i-dentifying the abnormal cause according to the communication message,and it is difficult to diagnose the faults of each link of the security control system in real time.To this end,the existing links and causes of faults in safety control system are analyzed,and the feature quantities of faults in safety control system are extracted.And then,a fault diagnosis model of safety control system based on deep belief network is established,and a fault diagnosis method of safety control system is proposed.Finally,the correctness of fault diagnosis method is verified by selec-ting the operation fault samples of the safety control system.关键词
电力系统/安控系统/故障诊断/深度置信网络/故障特征量Key words
power system/security control system/fault diagnosis/deep belief network/fault feature quantity分类
信息技术与安全科学引用本文复制引用
欧阳金鑫,张澳归,蒋航,熊俊,朱开阳..基于深度置信网络的电网安全稳定控制系统故障诊断方法[J].电测与仪表,2024,61(7):1-6,6.基金项目
国家电网有限公司总部管理科技项目(SGSXDK00DJJS2100113) （SGSXDK00DJJS2100113）
