A Multi-Agent System Coordination Approach for Resilient Self-Healing Operation of Multiple Microgrids

Power networks with multiple microgrids require more flexibility and versatility in their coordination tools and decision-making tools from both technical and economical points of view. In particular, the microgrids involve a high penetration of variable energy resources which motivates the need for new coordination and control approaches. In this paper, some of the literature gaps with respect to the coordination of multiple microgrids are first identified. These gaps suggest that the microgrid integration challenge is not just in the control of an individual microgrid but also in their coordination with others. The paper then presents a novel multiagent system coordination approach for the resilient self-healing operation of multiple microgrids. An architecture composed of physical agents is presented on a dual platform of JAVA-JADE (environment for developing agents) and MATLAB. It is then demonstrated to visualize the resilience of multiple microgrids in relation to two types of disturbed operations: (i) highly variable net load, and (ii) net load ramp events.