Application of Multi-Agent Technology in Micro-Grid System

Abstract

This paper proposes a multi-agent technology to energy management of the distributed generations in a micro-grid (MG) system. An introduction and analysis of the distributed intelligent multi-agent technology are presented, including its architecture and operation mechanism. Then, the objective function about minimizing the operating cost and environment losses taking in electricity trading is given. An implementation of Central Force Optimization (CFO) utilizing variable initial probes and decision space adaptation is presented, and Compare it to particle swarm optimization (PSO) method. The daily load forecast of electric power system is presented. The simulation results demonstrate that the proposed multi-agent technology is successfully monitored, controlled and operated for the energy management of the distributed generations in micro-grid system. © 2015 SERSC.