A cooperative game approach for energy management of interconnected microgrids

This paper proposes a cooperative game to schedule the day-ahead operation of multi-microgrid (MMG) systems. In proposed model, microgrids are scheduled achieve global optimum for cost system. The minimum is achieved by transactions with each other. Also, price-based demand response implemented in model build cost-reducing opportunity consumers. Applying Shapley value, MMG system fairly allocated between microgrids. To enhance confidence level results, data uncertainties incorporated into model. renewable outputs, demand, and prices trading main grid applied presented developed as mixed-integer nonlinear programming problem, its efficiency evaluated on standard test containing three when form compared isolated status that do not transact energy results indicate declined using comparison mode. microgrid1, microgrid2, microgrid3 improved 2.4, 2.7, 11.8%, respectively.