Unit Commitment Problem Using An Efficient PSO Based Algorithm

Abstract

Electric generators consume most of the world's fossil energy in power plant. In power plants, better solving unit commitment problem (UCP) means saving more fossil energy. Nowadays, most of the algorithms to solve the UCP cannot get good results, so it is necessary to study more efficient algorithms. Towards this end, this paper presents a novel algorithm to solve UCP. The proposed algorithm combines particle swarm optimization and simulated annealing algorithm to solve UCP better. At the same time, a convex optimization algorithm is proposed to solve the corresponding economic load distribution problem. We have done a lot of experiments to prove the advantage of this algorithm, which can solve UCP efficiently.