Optimal operation of microgrids through simultaneous scheduling of electrical vehicles and responsive loads considering wind and PV units uncertainties

This paper deals with the simultaneous scheduling of electrical vehicles and responsive loads to reduce operation cost and emission in presence of wind and PV powers in microgrid. In the proposed method, the electrical vehicles are used for peak shaving and load curve modification while the responsive loads are employed to supply the reserves needed to compensate the intrinsic uncertainties of wind and PV powers. Furthermore, a developed two-stage model is proposed to determine the expected operation cost of microgrid (energy and reserve). In the first stage, the generation and reserve power costs are minimized while in the second stage, the costs associated with unit scheduling changes resulting from wind and PV power variations are minimized. The proposed model is implemented in a microgrid with various distributed generations. The simulation results have shown that the incorporation of electrical vehicles and responsive loads leads to decrease the system operation costs and emissions while the uncertainties related to wind and PV are compensated.