robust scheduling of unbalanced microgrids for enhancing resilience by outage management strategy

Microgrid operators (mgos) try to restore as much demand as possible when they are faced with electrical power outages corre-sponding to extreme events. this work suggests an outage management strategy (oms) to improve microgrid resilience by using two optimal actions that are distribution feeder reconfiguration (dfr) and scheduling of the distributed energy resources (ders). later happening a line fault, the radial network topology is determined by the proposed model using an evaluation of the inci-dence matrix. the presented work handles the uncertain behavior of non-dispatchable ders and the electrical loads which model by the robust optimization approach. to expand the flexibility of the proposed model, the demand response program (drp) is treated as the curtailed demand. the aim of optimization is the minimization of the total cost for dispatchable der operation and electrical load decrease. the recommended robust linear problem (rlp) model is simulated by the cplex solver in gams software. applying the suggested model in the 69-bus unbalanced test system demonstrate that the proposed model averagely decreases total operation cost and execution time by 10.62% and 22.23% on all scenarios in comparison with the de-terministic model.