Chaos PSO Algorithm Based Economic Dispatch of Hybrid Power Systems Including Solar and Wind Energy Sources

This paper proposes a novel application of a chaos particle swarm optimization (PSO) algorithm for economic dispatch (ED) of a hybrid power system including the solar and wind energy sources. The algorithm is seeking to minimize total operating costs of the hybrid power system. The proposed chaos PSO algorithm is one of the standard PSO algorithm variants which has been used a logistic map for initializing random values of generators, as well as the inertia weight in the velocity update equation of the standard PSO algorithm. This results in the best convergence capability and search performance during the evolution process of the algorithm. The chaos PSO algorithm based ED problem of the hybrid power system with and without solar and wind powers is considered on a standard IEEE 30-bus 6-generator 41-transmission line test power system. The simulation results demonstrate the capabilities of the proposed algorithm to generate optimal dispatch solutions of the ED problem considering the renewable energy resources. The comparison with the standard PSO algorithm demonstrates the superiority of the proposed algorithm and confirms its potential to solve the ED problem.