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《Large Electric Machine and Hydraulic Turbine》 2003-01
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Parameters Identification of Synchronous Generator Based on Particle Swarm Optimization Theory

LONG Yun,WANG Jianˉquan (Zhejiang University,Hangzhou310027,China)  
The paper apply a evolutionary algorithm———Particle Swarm Optimization(PSO)on large synchronous generator parameter identification.Based on the characters of the PSO,a framework for the parameter estimation of synchronous generators is presented.The result of a case shows that the electrical parameters and mechanical parameters can be obtained by power system stability analysis software directˉly,without constructing the generator model.
【Fund】: 国家自然科学基金资助项目 (599770 2 0 )
【CateGory Index】: TM341
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