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《Proceedings of the Chinese Society of Universities for Electric Power System and its Automation》 2008-02
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Application of Distributed Parallel Hybrid Genetic Algorithm in Reactive Power Optimization

LI Yun-hua1,WU Hong-bing1,SHENG Wan-xing2,LIU Ke-yan1(1.School of Automation Science and Electrical Engineering,Beihang University,Beijing 100083,China;2.China Electric Power Research Institute,Beijing 100085,China)  
Based on the combination of normal genetic algorithm with simulate-annealing algorithm and the introduction of distributed MPI technique,a distributed multi-colony algorithm is proposed.This algorithm coordinates the optimization of all the courses by individual transfer,and ensures the stability of optimization direction by the strategy of oriental resumption.Computation time is sharply reduced by the application of distributed technique.Case study on IEEE 14-node system shows that the proposed algorithm can solve the problem of reactive power optimization with high stability and speed.
【Fund】: 973专业基金(G1998030416/05)
【CateGory Index】: TP18;TM714
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