Power and Energy Management Strategies for a Microgrid with the Presence of Electric Vehicles and CAES Considering the Uncertainty of Resources

We are witnessing the growth of microgrid technology and development electric vehicles (EVs) in world. These microgrids seek demand response (DR) energy storage for better management their resources. In this research, microgrids, including wind turbines, photovoltaics, battery charging/discharging, compressed air (CAES), considered. will consider two scenarios under uncertainty: (a) planning a DR without considering CAES, (b) CAES. The cost charging second study decreased by $0.66 compared to first study. is charged with difference $0.7 case also pay unsupplied excess microgrid. Then, we test scheduling grid (V2G) IEEE 33-bus network. framework increasing network flexibility use EVs as active loads. simulated. Every hour, plug-in hybrid vehicle (PHEV) discharging, power loss, be IHS PSO algorithms. obtained using algorithm 1.002 MW voltage 9.14 pu.