Multi-Agent Based Controllers for Distributed Generators

Abstract

This paper presents a novel multi-agent based control architecture for transient stability enhancement of distribution systems that contain distributed generators. The proposed control architecture is hierarchical with one supervisory agent that optimizes the overall process and a distributed number of local control agents associated with each distributed generator. Control and protection actions need a fast reaction time and are taken by the local control agents. Coordination, learning, modifications of the criteria and parameters for the control and protection equipment, are performed at the global control agent. The proposed control architecture is illustrated to enhance the transient stability of power distribution system with three microturbines as distributed generators.