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人工智能技术在电力系统故障诊断中的应用
引用本文:占才亮. 人工智能技术在电力系统故障诊断中的应用[J]. 广东电力, 2011, 24(9): 87-92
作者姓名:占才亮
作者单位:广东电网电力调度控制中心,广东广州,510600
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.

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

Application of AI Technology in Fault Diagnosis of Power System
ZHAN Cai-liang. Application of AI Technology in Fault Diagnosis of Power System[J]. Guangdong Electric Power, 2011, 24(9): 87-92
Authors:ZHAN Cai-liang
Affiliation:ZHAN Cai-liang(Electric Power Dispatching Control Center of Guangdong Power Grid Corporation,Guangzhou,Guangdong 510600,China)
Abstract: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.
Keywords:artificial intelligence  expert system  artificial neural networks  fault diagnosis  smart gird  
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