An Energy Management System for Enhancing Resiliency of Microgrids Considering Uncertain Events

This research presents a risk-based energy management system (EMS) for an islanded microgrid, considering each system component's probability of failure (PoF). A scenario-based optimization method has been used to include uncertain events in the problem formulation. The loads are categorized as critical, semi-critical, or noncritical to prioritize supplying the crucial loads when the microgrid's generation is insufficient to meet the load demand. Additionally, the nonlinear power flow equation has been transformed into convex equations, cutting down the computational time. Then the proposed method is applied to the modified IEEE-14 bus system. The result showed that the risk-based EMS reduced the amount of load served than a normal EMS, depending on the PoF of each system component. In addition, the EMS served critical loads first, then semi-critical loads, and practically curtailed all non-critical loads to match the generation and the demand. This successive load curtailment increases the microgrid's likelihood of survival in the islanded mode.