Chaotic self adaptive particle swarm approach for solving economic dispatch problem with valve-point effect

This research work presents a Chaotic Self Adaptive Particle Swarm Optimization (CSAPSO) algorithm in order to solve the Economic Dispatch (ED) problem. The main purpose of the work is to derive a simple and effective method for optimum generation dispatch to minimize the generation cost power networks by considering several non-linear characteristics of the generator such as valve point effect, prohibited operating zones and ramp rate limits. A chaotic local search operator is introduced in the proposed algorithm to avoid premature convergence. Simulation studies are carried out, using MATLAB software, to show the effectiveness of the proposed optimization method. The applicability and high feasibility of the proposed method is validated on three different test systems. Results show that the CSAPSO is more powerful than other algorithms.