人工智能技术在电力系统故障诊断中的应用  

Application of AI Technology in Fault Diagnosis of Power System

作　　者：占才亮[1] 

机构地区：[1]广东电网电力调度控制中心,广东广州510600

出　　处：《广东电力》2011年第9期87-92,共6页Guangdong Electric Power

摘　　要：介绍了电力系统故障诊断的研究现状,总结和归纳了近10年来国内外学者应用人工智能技术进行电力系统故障诊断的方法——专家系统、人工神经网络、Petri网、模糊理论、概率理论、粗糙集理论及多种融合方法,阐述了各种方法的基本思想、各种方法的特点与不足,探讨了新形势下电力系统故障诊断的发展趋势。The paper introduces status quo of research in fault diagnosis of power system and it summarizes and concludes fault diagnosis methods of domestic and foreign scholars by application of artificial intelligence-expert system, artificial neural networks, Petri networks, fuzzy theory, probability theory, rough set theory and other integrated methods. It expounds basic idea, characteristics and demerits of each method, it also discusses development trend of fault diagnosis of power system in new situation.

关 键 词：人工智能 专家系统 人工神经网络 故障诊断 智能电网 

分 类 号：TM764.1[电气工程—电力系统及自动化]