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《Power System Technology》 2013-10
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Research Course and Prospects of Power Grid Fault Diagnosis

ZHANG Xu;WEI Juan;ZHAO Dongmei;ZHANG Dongying;LIU Yanhua;School of Electrical and Electronic Engineering, North China Electric Power University;  
Combining with the research goal, data source, common methods, typical application of power grid fault diagnosis and the situation of its application, the research course of power grid fault diagnosis is expounded; the frequent diagnosis methods based on expert system, artificial neural network and optimization algorithms are summarized, and the features, diagnosis principle and defects of different diagnosis methods during power grid fault diagnosis are discussed; common modeling modes and system structure for present diagnosis are concluded; and the development trend of power grid fault diagnosis is prospected. It is pointed out that the key factors impacting the practicality of power grid fault diagnosis system lie in following aspects: how to make power grid fault diagnosis system suitable to complex data environment, the analysis on action and behavior of protective devices during complex fault, automatic modeling and maintenance of online fault diagnosis system and how to reappear fault diagnosis process completely.
【Fund】: 国家自然科学基金项目(50977024);; 教育部中央高校基本科研业务费专项资金资助项目(12MS27)~~
【CateGory Index】: TM73
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