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《Automation of Electric Power Systems》 2004-20
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GENETIC TABU HYBRID ALGORITHM AND ITS APPLICATION IN POWER NETWORK PLANNING

Wang Saiyi, Wang Chengshan(Tianjin University, Tianjin 300072, China)  
Power network planning is a NP hard problem difficult to be solved. First, by comparing the different abilities when solving TSP by the genetic algorithm (GA), Tabu search (TS) and the hybrid algorithm of the two, this paper proves the advantages of improved GA adopting the TS mutation operation. Then, the improved GA, viz. genetic Tabu hybrid algorithm (GTHA), has proved suitable for optimizing the complex power network planning via its application in a typical example of power network expansion planning. Finally, while optimizing the actual urban mid-voltage distribution network planning using GA, TS and GTHA respectively, the comparison results show that the search efficiency of GTHA is much better than the other two and GTHA proposed in this paper has a promising application.
【CateGory Index】: TM715
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