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《Power System Technology》 2004-11
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REACTIVE POWER OPTIMIZATION BASED ON GENETIC/TABU SEARCH HYBRID ALGORITHM

TAN Tao-liang;ZHANG Yao Electric Power Institute, South China University of Technology, Guangzhou 510640 Guangdong Province, China  
To remain the advantages of Genetic Algorithm (GA) and Tabu Search (TS) and weaken their defects, a genetic/Tabu search hybrid algorithm for reactive power optimization is presented. According to the feature that in the reactive power optimization the discreteness of control variables are mixed with their continuity, a hybrid coding strategy is put forward and correspondingly the crossing is performed by heuristic algorithm. Using the presented algorithm the reactive power optimization calculation for IEEE 30-bus system is conducted, the calculation result is compared with the results from the simple genetic algorithm and the binary coded Tabu search, and it is shown that the presented method possesses bettter convergence and stronger global optimization ability.
【Key Words】: Reactive power optimization Tabu search Genetic algorithm Mixed coding Power system
【CateGory Index】: TM714
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