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《Journal of Yangtze River Scientific Research Institute》 2003-02
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Research and application of genetic algorithm to cascade hyroelectric stations' short-term optimization scheduling

WANG Xiao-an,LI Cheng-jun (College of Hydroelectricity & Digitalization Eng, Huazhong University of Science and Technology, Wuhan 430074,China)  
This paper puts forward a model used for short-term generation optimization scheduling of stepped hy-dropower stations system and discusses the process for solving this problem with genetic algorithm (GA) in detail. The calculation result shows that GA can solve complex constrained nonlinear optimization problem and its advantages are simple programming and easy realization, therefore an efficient method is provided for short-term hydropower system scheduling.
【CateGory Index】: TP18;TM734
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