A Hybrid Differential Evolution Method for Optimal Reactive Power Optimization

Reactive power optimization is the foundation for optimal control of voltage and reactive power.In this paper a novel reactive power optimization method based on hybrid differential evaluation algorithm is expounded.Hybrid differential evaluation algorithm is a direct random search method,which is driven by genetic difference among the stochastically sampled individuals in current population.In order to speed up the computation and avoid falling into local optima,the migrant and accelerating operations are embedded in the proposed algorithm.The proposed reactive power optimization method is validated by IEEE 30-bus system and the obtained results are compared with those by other algorithms.Simulation results show that the proposed method possesses following advantages: good convergence performance,good robustness and high calculation accuracy.