Study of Artificial Intelligence Technologies in Power System Relay Protection Fault Diagnosis

摘要：

　　Relay protection fault diagnosis is important for the security operation of power systems.In this paper,several artificial intelligence technologies which are developed rapidly for the fault diagnosis are introduced.The advantages and limitations of these technologies---Expert System(ES),Artificial Neural Network(ANN),Fuzzy Theory(FST),Petri Net and Genetic Algorithm(GA),are discussed.The developing direction of the artificial intelligence technologies for relay protection fault diagnosis in the future is explored as well.

关键词： Artificial intelligence technology Relay protection Fault diagnosis Expert System (ES) Artificial Neural Network (ANN) Fuzzy Theory (FST) Petri Net Genetic Algorithm (GA)

作者: Qiaoyan Bian Yutao Qiu Jing Wu Weihong Hou Jiayi Wu Wenlian Wu

作者单位: Hangzhou Power Supply Company of State Grid Zhejiang Electric Power Company,Hangzhou,310009,China State Grid Zhejiang Electric Power Company,Hangzhou,310007,China

会议类型: 国内会议

会议名称: “紫金论电”2017智能电网保护和运行控制国际学术研讨会

会议地点: 南京

会议语种:英文

页码: 182-188

在线出版日期: 2017-08-12（万方平台首次上网日期，不代表论文的发表时间）