基于改进布谷鸟算法的电动汽车换电站有序充电策略研究

Study on Coordinated Charging Strategy for Battery Swapping Station Based on Improved Cuckoo Search Algorithm

换电模式以其换电速度快和充电管理方便等特点,目前已发展成为电动汽车的一种较重要能源供给模式,在该模式下制定合理的充换电决策具有重要意义。该文研究了换电站换电池有序充电控制策略问题,深入分析了换电站运行特性,并在此基础上建立了换电站换电池有序充电模型。与传统有序充电模型中以功率为控制量不同,该文提出的模型以每时段各状态的电池充电投入数量为控制变量,综合考虑换电站所属变电站容量要求,换电站满意度要求等约束,最小化负荷曲线的离差平方和。其次,该文提出一种改进的布谷鸟算法用以解决整数规划问题,并应用该算法实现了有序充电模型的快速求解。最后,算例仿真结果表明了模型的正确性和算法的有效性。

Battery swapping concept is becoming an important method for EVs energy supply due to its faster service for EVs owners and its easy management for system operators,so that it may have significant sense to make reasonable charging and swapping decision in this mode.This paper,firstly,is aimed to obtain the optimal charging policy for battery swapping station（BSS）.A novel coordinated charging model for an individual BSS is proposed after making a elaborate analysis of its operation characteristics.Different from common model which control charging power,in the proposed model,the number of battery every period put to charging process is made to the controlled variable.The model is also developed to minimize the sum of squares of load,taking the relevant constraints of the limit of substation capacity and the customer satisfaction into account.Secondly,the paper developed an improved Cuckoo search algorithm to solve the problem of integer programming,and we achieve rapid solution of forward coordinated charging model by using the improved algorithm.