A Multi-Agent Approach to Cross-Border Trade Planning

Abstract

This paper proposes a multi-agent approach to power exchange planning for the electric power system. The proposed multi-agent system consists of Regional Network Area Agents (RNAGs), Branch Agents (BAGs) and Mobile Agents (MAGs). In this system, RNAGs are classified into three types of agents with respect to the net injection power to the regional network. The process is started when MAG is created from each demand network (DN), and MAG tries to find the required power from source networks (SNs) through the Internet. It is noted that the proposed multi-agent system can decide the power exchange planning using local information only. In order to demonstrate the capability of the proposed multi-agent system, it has been applied to a model network that consists of five RNAGs, seven BAGs, and two MAGs.
The simulation results show that the proposed system is effective and promising. The advantage of this approach lies in that no centralized control is required to guarantee the autonomous action, and appropriate power exchange planning is achieved by using decentralized approach.