A hybrid optimization based on DE for optimal reactive power flow

In this paper,a differential evolutionary algorithm based on hybrid optimization of reactive power optimization methods is proposed.Hybrid optimization differential evolutionary(HODE) algorithm is a direct random search method,which is driven by genetic difference among the stochastically sampled individuals in current population.The main idea of this method adopts different strategy for mutation operator,and incorporates the two generations to enhance evolutionary speed.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 of good convergence performance,good robustness and high calculation accuracy.