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《Power System Technology》 2008-03
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A Genetic Algorithm Based Optimal Excitation Control for Wind Power System Using DC Generator

CHEN Fen1,MA Hong-zhong1,ZHANG Li-min1,XU Shu-feng1,ZHU Tong-liang1,REN Gao-feng2 (1.College of Electric Engineering,Hohai University,Nanjing 210098,Jiangsu Province,China; 2.Xiaolangdi Hydro Power Station,Luoyang 471100,Henan Province,China)  
Wind power generation system exists following features: the rotation speed of wind turbine generator frequently fluctuates and both voltage stability and frequency stability are hardly controlled simultaneously. For this reason, according to the operating characteristics of DC generator, the authors propose a wind power generation scheme in which DC generator is utilized. In the proposed, the genetic algorithm (GA) based optimal excitation control technology is applied to the excitation of DC generator, thus the stable output voltage of DC generator is implemented. The feasibility of utilizing DC wind power generation system as well as its features are analyzed theoretically, and the performance of stabilizing the output voltage of DC wind generator by GA based optimal excitation control is emphatically researched. By use of Matlab software the proposed wind power generation scheme is simulated; besides, taking DC motor as prime mover and by means of adjusting its rotation speed to analog the rotation speed variation of wind turbine caused by wind speed variation, a lot of experiments are performed in power system dynamic simulation laboratory. The correctness and feasibility of the proposed scheme are validated by the comparison of numerical simulation results with the obtained experimental data.
【CateGory Index】: TM614;TP18
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