Multiobjective optimization model of collaborative dispatch in the microgrids

The renewable energy wind, such as the wind power and photovoltaic power, has a lower absorptive capability in the microgrid. This work has proposed a model of cooperative dispatch of the electric vehicles and the energy storage system. The electric vehicles are adjusted into the grid network with the real-time electricity price. The model is solved by the improved version of the strength Pareto evolutionary algorithm 2 (SPEA2). The algorithm combines the SPEA2 with a shift-based density estimation (SDE) strategy. The results show that the electric vehicle and the energy storage system can better improve absorptive capability, and stabilize the microgrid system.