Stochastic Optimization Framework for Microgrid Operation in Energy Communities: Ensuring Reliable Power Supply with Distributed Energy Resources

The uncertainties associated with the generation of renewable energy sources (RESs), accompanied by the randomness of unscheduled islanding events and failures occurring in a microgrid, have made it challenging to optimally manage microgrids while preserving a high level of performance reliability. Considering reliability and economic objectives, this paper puts forward a stochastic scheduling model to address the aforementioned issues and effectively manage the operation of multi-resource microgrids. In this regard, the spherical simplex unscented transformation method is employed in the scheduling model in order to account for the forecasting errors of RES generation. Also, the proposed framework specifically models the outage of various microgrid equipment through a mathematical model that captures the impact of equipment failures on the day-ahead scheduling of microgrids. The performance of the developed scheme is investigated on an 18-bus test microgrid. The simulation results substantiate the efficiency and applicability of the suggested methodology in establishing a compromise between microgrid economic and reliability objectives.