Differential Evolutionary Particle Swarm Optimizationによる探索領域の削減を考慮したスマートコミュニティの全体最適化

抄録

This paper proposes a total optimization method of a smart community (SC) by Differential evolutionary particle swarm optimization considering reduction of search space. Japanese experts have developed various sectors of SC models such as an electric utility model, an industry model, and a building model. This paper utilizes the models and tries to optimize whole of a SC in order to minimize total energy costs and shift electric power load peak of the SC. The simulation results by the proposed method are compared with those by Particle swarm optimization, Differential evolution, and Evolutionary particle swarm optimization based methods.