Socio-Economic Oriented Microgrid Energy Management System with Islanding Capability during Adverse Weather Conditions

This paper presents a resilient-economic Microgrid Energy Management System (M-EMS). The main idea is to increase microgrid resilience through dynamic adjustments to the generation reserve and Demand Response Program (DRP) by considering weather conditions and islanding probability. In this regard, a multi-objective optimization problem is proposed considering Microgrid System Operator (MSO) and Distributed Energy Resources Owner (DERO) cost functions. In order to increase the readiness of the microgrid against load shedding during islanded mode, values of Expected Energy Not Supplied (EENS) and load shedding are estimated by considering dynamic changes in demand level, generation of DGs, Energy Storage System (ESS), and failure rate of branches. Accordingly, resources scheduling and DRP are modified to minimize total operational costs, including the cost of EENS and load shedding, by modelling the effect of adverse weather conditions on the failure rate. Several resilience measurement indices are used for evaluating the proposed method. The profits from decreased EENS/load shedding are split between the MSO and the DERO by selecting optimal Pareto solution. The proposed method is studied in IEEE 33-bus benchmark system, and simulation results indicate that the proposed method effectively increases the benefits of all microgrid actors and resilience indices.