电动汽车与可再生能源的协调优化

Coordinated Optimization on Electric Vehicles and Renewable Energy

针对电动汽车和可再生能源之间的多目标协调调度,建立了以配电网负荷波动最小、总网络损耗最小和电动汽车用户充电成本最小为目标函数的多目标协调控制模型,并采用量子粒子群多目标搜索算法进行求解,得到各个时刻电动汽车合理的入网数量。以IEEE-33节点配电系统进行仿真实验,结果表明,利用电动汽车的电池储能系统作为电网和可再生能源的缓冲,能降低可再生能源发电间歇性和电动汽车入网随机性对电网的影响,促使电网侧和用户侧的双边利益最大化。

In allusion to multi-objective coordinated dispatching for electric vehicles and renewable energy, this paper establishes a multi-objective coordinated control model taking minimum load fluctuation of the power distribution network, minimum network loss and minimum charging cost of electric vehicle users for objective functions. It also uses quantum particle swarm（PSO） multi-objective searching algorithm for solution and then gets reasonable network accessing numbers of electric vehicles at each time. IEEE-33 node power distribution system is used for simulating experiment and results indicate that it is able to reduce generation intermittent of renewable energy and influence on the power grid by random of network accessing of electric vehicles by taking battery energy storage system of the electric vehicle as cushion for the power grid and renew- able energy, as well as promote maximization of bilateral benefits of grid side and user side.