A decentralized approach for optimal electricity trade schedule using multi-agent systems

Power industry has been undergoing deregulations to introduce competitions among market participants. With the fast development of interconnected power systems, the optimal wholesale electricity trade schedule is an important issue in interconnected power systems under transmission open access. In this paper a decentralized approach is proposed to solve the problem using multi-agent systems (MAS). In the new approach an agent is used to act as PX (power exchange) and several agents coordinates to work out electricity trade schedule, the minimum production cost of the whole system can be reached and the complexity of calculation in single PX can be reduced. The simulation results show that proposed approach is effective.