Development of bulk power system restoration simulator by means of multi-agent approach

In this paper, we propose a new decentralized multiagent simulator for a bulk power system restoration. The proposed multiagent system is constructed with four-level hierarchical architecture. Firstly, a single independent system operator agent (ISOAG), which controls the timing of the simulation process, is implemented at the most upper level. Several local area management agents (LAMAs), which are corresponding to the local area management system, are located at the second level. Several load facilitator agents (LFAGs), generator facilitator agents (GFAGs), and remote load facilitator agents (RLFAGs) are implemented at the third level. Finally, several load agents (LAGs) and generator agents (GAGs) are located at the forth level. In order to demonstrate the capability of the proposed multiagent system, it has been applied to a model bulk power system. The simulation results show that the proposed multiagent approach is effective and promising.