电动汽车电池交换站与微网的协调优化调度

Coordination and optimization of electric vehicle battery swap station and microgrid

针对电动汽车电池交换站(Battery Swap Station,BSS)负荷的随机性及不确定性引起微网内部负荷峰谷差增大的问题,提出了基于实时电价的BSS与微网协调的双层优化调度方法.建立BSS换电需求不确定性模型;基于主网分时电价计及微网常规负荷提出了微网内部实时电价制定方法,建立了BSS与微网协调双层优化调度模型,通过Yalmip调用Cplex求解器分别对上下层模型循环求解,得到微网内部可控微源的最优出力和BSS的最优充放电计划.最后针对某微网进行算例分析,结果表明所提优化方法提高了双方利益的同时实现了网内总负荷的削峰填谷.

Aiming at the problem that the randomness and uncertainty of the load of Battery Swap Station(BSS)of electric vehicles lead to the increase of the peak-valley difference of the load in the micro grid,a two-layer optimal scheduling method based on real-time electricity price was proposed for the coordination between BSS and the microgrid.The uncertainty model of electrical changing demand is established in BSS.Based on the time-of-use electricity price of the main network and the conventional load of the microgrid,a method for determining the real-time electricity price in the microgrid is proposed,and a coordinated double-layer optimal scheduling model of BSS and microgrid is established.The Cplex solver was called by Yalmip to solve the upper and lower models,respectively,to obtain the optimal output of the controllable micro-source inside the microgrid and the optimal charge-discharge plan of BSS.Finally,an example is given for a microgrid,and the results show that the proposed optimization method can improve the benefits of both parties and realizes the peak-shaving and valley-filling of the total load in the network.