MPI based PSO algorithm for the optimization problem in micro-grid energy management system

Abstract

Most artificial intelligence optimization algorithms tend to increase the size of the population to get better global search capability. However, the increase of population size will add operation time. In order to improve the operational efficiency, this paper proposes a message passing interface (MPI) based particle swarm optimization (PSO) algorithm to solve the multi-period optimization problem in micro-grid energy management system. MPI based PSO algorithm splits the original single process task into multi-process parallel tasks. It can greatly improves the operation speed by making full use of the server's logical Central Processing Unit (CPU). The IEEE 9 buses system is employed to test the presented method. The obtained result shows the merit of the proposed method in improving operation time.