Optimal Reconfiguration and Scheduling in a Network of Multiple Microgrids

In this paper the optimal reconfiguration and scheduling of a networked-Microgrids (networked-MGs) community for a 24 hours horizon is presents. Based on different fitness functions the configuration and commitment of the MGs are determined for any scheduling time slots. For any hours in scheduling horizon and for each network reconfiguration states the generation power of each distributed energy resource within MGs and the power flow exchange between MGs and main is obtained using Optimal Power Flow (OPF) considering the electrical and environmental constraints. In case of MGs operation in island mode, each MG is responsible for its load individually. To balance the total power in each MG, the price of the power exchanges with either the MGs or the utility grid is considered. The main results include the MGs reconfiguration state table for 24 hours scheduling of MGs which includes MGs resources output power and interconnection line flow. While the fitness function is a multi-objective function, to select the best and effective solution considering all fitness function the Data Envelope Analysis (DEA) method is adapted to select the most efficient solution for networked-MG optimal reconfiguration at each hour.