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REACTIVE POWER OPTIMIZATION BASED ON TABU SEARCH APPROACH

Liu Yutian, Ma Li(Shandong University of Technology, Ji'nan 250061, China)  
Tabu search (TS) is a highly efficient new heuristic searching technique for quickly finding high quality solutions tocombinatorial optimization problems. It is characterized by gathering knowledge during the search. and subsequently profitingfrom this knowledge avoiding local optimal solutions. TS method with binary and decimal coding are applied to reactive poweroptlmizatlon in this paper. In two power systems, the IEEE 30 bus system and a 125 bus actual power system with 64 controlvariables in Shandong Province. China, this method has been tested. Comparison results of the TS method with geneticalgorithm and genetic/slmulated annealing hybrid algorithm show that the TS method with decimal coding is the mostefficient, and it can offer nearly optimal solution to reactive power optimization problem within reasonable computing time.This project is supported by the research award foundation for outstanding young and middle--aged scientists in ShandongProvince (No. 97235515).
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