Game-theory-based Real-Time Inter-Microgrid Market Design Using Hierarchical Optimization Algorithm

This paper proposes a Game-theory-based real-time reverse auction model for inter-microgrid market in a multi-microgrid system using a hierarchical optimization algorithm to address the optimal operation of microgrids in distribution systems. This market is organized to optimally assign the net power mismatch inside an area to microgrids' market agents aiming at minimizing both the dependency on the utility and the market clearing cost. To implement the proposed framework in a Multi-Agent System (MAS), a fast and reliable communication middleware is required. Therefore, the data distribution service (DDS) which is a data-centric communications middleware based on the real-time publish-subscribe protocol is deployed for this purpose, where each agent is developed as a domain participant combining a publisher and subscriber. To validate the effectiveness of the proposed market framework, it is applied on the modified 37-bus IEEE distribution test feeder system, and the numerical results are obtained and presented.