摘要
研究综述了广泛应用于电网故障诊断的多种智能方法结合的诊断方法,包括分别基于以专家系统、Petri网、神经网络、贝叶斯网络、优化技术、信息融合技术等结合其他智能方法的诊断技术。简要阐述了这些智能技术的特点、诊断原理,阐释了各自研究存在的不足。最后结合现有研究中面临的问题,分析了电网故障诊断领域未来的发展方向。
This research reviews the diagnostic methods combined with multiple intelligent methods that widely used in power grid fault diagnosis,including diagnostic techniques based on expert system,Petri net,neural network,Bayesian network,optimization technique,and information fusion of multi-data that combined with other intelligent methods.It is briefly elaborated the characteristics and diagnostic principles of these intelligent technologies and explained the insufficiency of their respective researches.Finally,this research analyzed the future development direction of power grid faults diagnosis according to the problems in the cument researches.
作者
喻圣
邹红波
余凡
韩娜
严祥武
吴建新
YU Sheng;ZOU Hong-bo;YU Fan;HAN Na;YAN Xiang-wu;WU Jian-xin(Electric Engineering&Renewable Energy School,China Three Gorges University,Yichang443002,China;State Grid Zhoushan Power Supply Company,Zhoushan316000,China;State Grid Xiaogan Power Supply Company,Xiaogan443000,China)
出处
《电力学报》
2019年第1期30-36,共7页
Journal of Electric Power
关键词
电网
故障诊断
智能方法
融合诊断
power network
fault diagnosis
intelligent technology
fusion diagnosis
