Total optimization of smart community by Differential Evolution considering reduction of search space
Mayuko Sato, Yoshikazu Fukuyama · 2016
This paper proposes a total optimization method of a smart community (SC) by Differential Evolution (DE) considering reduction of search space. Japanese experts has 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 the results by a Particle Swarm Optimization (PSO) based method.