The research of electric load control system based on MAPSO algorithm

Abstract

A novel multi-agent particle swarm optimization algorithm (MAPSO) is proposed for power load control system in this paper, which regards the large number of highly decentralized regional power load as the rotating adjustable energy power resource to reduce peak or fill valley. The algorithm doesn't only have the advantage of agent to self-government to update its own state, but also has the advantage of the particle swarm to achieve the optimal state quickly. Avoid the disadvantage other optimization such as algorithm modeling complex, computing speed slowly. The application indicates that the effectiveness of the method.