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Power system reactive power optimization based on improved bee evolutionary genetic algorithm
Author(s): 
Pages: 1468-1473
Year: Issue:  10
Journal: Rural Energy

Keyword:  improved bee evolutionary genetic algorithmpower systemreactive power optimiza-tionexpulsion operatorconvergence rate;
Abstract: An improved bee evolutionary genetic algorithm(IBEGA) is used to solve reactive power optimization problem of power system. The algorithm introduces a strategy of adaptive selection operator to timely open up a new algorithm solution space to improve its search efficiency; introduces expulsion operator to increase biodiversity of bees to improve hybridization efficiency, then premature convergence problem of the algorithm is avoided. Taking IEEE6 node and IEEE-30 node test system as examples, reactive power optimizations are carried out and compared with other optimization algorithms, the results show that the algorithm is effective in solving IBEGA reactive power optimization problem, and prove that the algorithm convergence speed and optimization algorithm have better performance than other optimization results.
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