A Fuzzy Random Scheduling Model of Islanded Microgrid Considering Dual Uncertainty of EV

Response uncertainty and power uncertainty of electric vehicle (EV) charging/discharging will lead to a new type of high complexity and strong uncertainty in the economic dispatch of EV microgrid. Thus, a fuzzy random economic scheduling model considering dual uncertainty of EV is proposed for islanded EV-source-storage-load microgrid. The uncertainty of EV discharge response is characterized by fuzzy membership function, and the parting model of SOC initial value is established by probability theory, thus a hybrid opportunity-constrained programming model with both fuzzy and random parameters is constructed based on credibility measure. The genetic algorithm combined with fuzzy random simulation technology is given to calculate the operation cost of EV microgrid under different operation conditions. The simulation results verify the feasibility of the proposed method, in which the operation cost is reduced clearly than other several scenarios.