Modeling and optimization oriented to the micro-grid-EV joint system

With the increasingly serious energy scarcity and environment pollution, the wide application of the renewable energy and the popularization of the electric vehicle are considered as two effective ways to improve the energy and environment situation. However, the negative effect on the system stability could not be ignored for their intermittent, fluctuant and random characteristics. Aiming to study the operation of micro-grid with access of the renewable energy and EVs, the synthetically modeling method that includes agent-based modeling and system dynamics modeling is applied to built the micro-grid-EV joint system model. Considering the time difference of renewable energy generation, EV charging and the residential load demands, the cascade charging strategy is proposed for scheduling the EV charging behavior to maintain the stable operation of the micro-grid-EV joint system and extremely improve the utilization of the renewable energy. Finally, the comparative simulations are carried out in the same conditions with the other two strategies include charging after travel and charging at night, and the optimal performance of the proposed cascade charging strategy is verified by index evaluation of the renewable energy utilization rate, the energy supplement ability and the peak-to-average ratio.