中国电机工程学报2018，Vol.38Issue(4)：1075-1083,后插12,10.DOI:10.13334/j.0258-8013.pcsee.170070
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
摘要
Abstract
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.关键词
电动汽车/充换电站/有序充电/布谷鸟算法Key words
electric vehicles/battery swapping station/coordinated charging/Cuckoo search algorithm分类
信息技术与安全科学引用本文复制引用
黄敏丽,于艾清..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[J].中国电机工程学报,2018,38(4):1075-1083,后插12,10.基金项目
上海市绿色能源并网工程技术研究中心(13DZ2251900) （13DZ2251900）
上海市教委科研创新项目(14YZ127). Shanghai Engineering Research Center of Green Energy Grid- Connected Technology (13DZ2251900) （14YZ127）
Innovation Program of Shanghai Municipal Education Commission (14YZ127). （14YZ127）
