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Reactive power optimization is the non-linear integer problems, suitable reactive power compensation can reduce the transmission losses and guarantee the power system operate stability, safety and economy. The differential evolution algorithm is the intelligent evolutionary algorithm had fast and precision convergence. In this paper, improved differential evolution algorithm aiming at the model of reactive power optimization, and introduces the niche theory. Then to enhance the local search ability of algorithm and broaden the search range, the speed and precision of convergence has different degrees of improvement. At last, the paper selects several algorithms that acquire excellent results on reactive power optimization, and then compares algorithms to confirm advantage of improving the differential evolution algorithm.

Reactive power optimization of power system based on niching differential evolution algorithm