A Stochastic Energy Management System for Isolated Microgrids

Energy management in isolated microgrids is an important task since they have limited generation capacity and are expected to rely on various uncontrollable supply resources to match and balance the demand. While plug-in electric vehicles (PEVs) present a promising solution to reduction of greenhouse gas emissions, their increasing penetration impacts the system operation, particularly in isolated microgrids. Therefore, PEV load management is an important issue. Similarly, demand response (DR) has the potential to provide significant flexibility in the operation of isolated microgrids with limited generation capacity, by altering the demand and introducing an elasticity effect. This paper presents a stochastic energy management system (EMS) model for isolated microgrids considering PEVs and DR, for several probabilistic operational scenarios in short-term dispatch. The proposed stochastic EMS model accounts for the uncertainties in wind and solar generation, energy consumption patterns of customers, and the stochastic nature of the state of charge (SOC) of PEV batteries at the start of charging.