储能科学与技术 ›› 2016, Vol. 5 ›› Issue (4): 514-521.doi: 10.12028/j.issn.2095-4239.2016.04.016

• 研究及进展 • 上一篇    下一篇

配置梯次电池储能系统的快速充电站经济性评估

韩晓娟1，张  婳1，修晓青2，李建林2   

  1. 1华北电力大学控制与计算机工程学院，北京 102206；2中国电力科学研究院，北京 100192
  • 收稿日期:2015-12-22 修回日期:2016-01-11 出版日期:2016-07-01 发布日期:2016-07-01
  • 通讯作者: 韩晓娟（1970—），女，博士，副教授，主要从事风力发电、信息融合方面的研究，E-mail：wmhxj@163.com。
  • 作者简介:韩晓娟（1970—），女，博士，副教授，主要从事风力发电、信息融合方面的研究，E-mail：wmhxj@163.com。
  • 基金资助:
    国家高技术研究发展计划（863计划）（2014AA052004），国家电网公司科学技术项目（储能融合可控负荷提升供热地区风电就地消纳能力的关键技术研究及应用）和国家自然科学基金项目（51577065）。

Economic evaluation of fast charging electric vehicle station with second-use batteries energy storage system

HAN Xiaojuan1, ZHANG Hua1, XIU Xiaoqing2, LI Jianlin2   

  1. 1School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; 2China Electric Power Research Institute, Beijing 100192, China
  • Received:2015-12-22 Revised:2016-01-11 Online:2016-07-01 Published:2016-07-01

PDF

657

被引次数

14

摘要：

由于电动汽车快速充电站大功率快速充电的特性会对电网的稳定造成冲击，因此考虑在电动车快速充电站中配置电池储能系统（BESS），对充电站负荷进行削峰填谷，从而减少充电站变压器配置容量、缓解大功率快速充电对电网的不利影响。考虑到目前我国大量退役动力电池亟待回收利用的现状，结合梯次利用电池储能系统，建立了基于电动汽车快速充电站整体成本与收益的经济性评估模型，以快速充电站年净收益最大为目标函数，采用改进的遗传算法对模型优化求解。结合算例对快速充电站不配置储能、配置常规电池储能和配置梯次电池储能等不同情况进行了经济性评估，并综合考虑经济性与储能削减负荷的效果，确定了梯次电池储能系统最优容量配置方案。

关键词: 快速充电站, 梯次电池, 储能系统, 容量配置, 经济性评估

Abstract:

 The high power fast charging characteristics of fast charging electric vehicle station will have enormous impact on the stability of the power gird, therefore the battery energy storage system(BESS) is considered to be configured in the fast charing electric vehicle station. Through the peak load shifting,BESS can reduce the transformer capacity allocation for the charging station and  release the adverse impact of high power fast charging on the power grid. Considering the current situation that a large number of retired power batteries need to be recycled urgently in China and combining with second-use battery energy storage system ,the economic evaluation model of fast charging electric vehicle based on overall costs and incomes is built. The maximization of annual net income is used as the objective function of the model and the improved genetic algorithm is used to optimize the model. Combined with case, the economical efficiency of fast charging electric vehicle station without BESS, with conventional BESS and with second-use BESS are analysed. The optimal capacity allocation scheme of second-use BESS is determined considering the economy and the effect of energy storage to reduce load.

Key words: fast charging electric vehicle station, second-use batteries, energy storage system, capacity allocation, economic evaluation