The Hybrid Differential Evolution Algorithm for Optimal Power Flow Based on Simulated Annealing and Tabu Search

It is usually imperfect for the traditional algorithm of mathematical programming when it is used to analyze the optimal power flow (OPF) issues. A new optimal power flow model of differential evolutionary algorithm has been developed in this paper through combining modern intelligent optimization algorithms, such as differential evolution (DE), simulated annealing (SA) and tabu search (TS). Concerning IEEE6, IEEE30bus system in the optimal power flow, simulation case study shows that the novel hybrid optimization algorithm has a better global optimization capability.