Optimal Scheduling of Microgrids with MultiPeriod Islanding Operation Considering DemandSide Management

This paper presents a scholastic model for energy management of smart microgrids with demand response (DR) considering demand and supply uncertainties. In this model, responsive loads are modeled by using price elasticity of demand concept and with the aim of minimizing the consumption cost of customers. In the proposed program, the operator tries to schedule energy resources optimally by considering islanding events of microgrids, that may occur due to upstream network disturbances. Therefore, in addition to uncertainties caused by load forecasting, renewable power generation and electricity prices, uncertainties caused by the prediction error of microgrid islanding events are also considered. The proposed approach is implemented using existing commercial software on a typical microgrid and the effects of DR programs on system operation via sensitive analyses. The results show that, when customers participate in DR programs, the amount of mandatory load shedding at islanding duration of microgrid reduces, and the expected profit of operator increases.