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Application of Genetic Algorithms in Reactive Power Optimization

Ma JinTao; L. L. Lai; Yang YiHan(Beijing Graduate School North China Institute of Electric Power Qinghe,Beijing City 100085)(City University London UK)(Beijing Graduate School North China Institute of Electaric Power Qinghe,Beijing 100085)  
This paper describes an application of genetic algorithms (GAs) to reactive power optimization and voltage control of POwer systems. Some technical problems have been solved to make GAs practical for solving the optimization problems of real large-scale systems. The computed results with GAs have been compared with those obtained from a conventional gradient-based optimization method. The comparison shows that GAs are better than conventional methods in dealing with the optimization of non-continuous and nonsmooth functions. The GAs show the ability to search for the global optimum in reactive POwer optimization that has multiple local optima.
【CateGory Index】: TM714.3
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