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《TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY》 1999-01
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Identification of Composite Induction Motor Loads

Juping; Li Defeng (Hohai University 210098 China)  
The identification problem of composite induction motor loads has been solved withanalysing the identifiability and using genetic algorithms as aided tools. This is an important issue withboth theoratical and practical values, which has interested the electrical engineers for a long time. Itisproven that the lbed is unidentifiable without post - steady, however, identifiable with post - stead.The theoratical results and the proposed parameter estimation method are validated by simulation stud-ies and practical applications.Keywods: Electric loads Models Induction motor
【Fund】: 国家自然科学基金
【CateGory Index】: TM301
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【Co-references】
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1 LIANG Ruixin, ZHENG Deling (Information Engineering School,UST Beijing,Beijing 100083,China);A Hybrid Optimization Algorithm Based on Nested Intervals Chaos Search[J];Journal of University of Science and Technology Beijing;2002-03
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5 Zheng Xiaoyu1 Ma Jin1 He Renmu1 Tang Yonghong2 (1. Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing 102206 China 2. Sichuan Electric Power Research Institute Chengdu 610072 China);Classification and Generalization of the Load Model Based on Model Dynamic Responses[J];Transactions of China Electrotechnical Society;2009-02
6 Li Xinran1 Qian Jun1 Wang Lide1 Li Peiqiang1 Chen Huihua2 Song Junying2(1.Hunan University Changsha 410082 China 2.Hunan Power Dispatcher and Communications Center Changsha 410077 China);Synthesis Induction Motor Model of Power Composite Load Considering Distribution Network Structure[J];Transactions of China Electrotechnical Society;2009-04
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