退役动力电池梯次利用的容量优化配置  

Capacity Allocation Optimization of Second-Use of Retired EV Batteries

作　　者：孙威 修晓青[2] 肖海伟 张璜 郭光朝 SUN Wei XIU Xiaoqing XIAO Haiwei ZHANG Huang GUO Guangchao(Sunwoda Energy Solution Co., Ltd., Shenzhen 518100, China China Electric Power Research Institute, Beijing 100192, China)

机构地区：[1]深圳市欣旺达综合能源服务有限公司,广东深圳518100 [2]中国电力科学研究院,北京100192

出　　处：《电器与能效管理技术》2017年第19期72-76,共5页Electrical & Energy Management Technology

基　　金：山西省重点研发计划重点项目(201603D112001);国家电网公司总部科技项目(DG71-17-012)

摘　　要：动力电池的梯次利用不仅可以缓解动力电池退役带来的回收和环境污染压力,还可有效提高资源利用率,带来可观的经济效益。提出了一种考虑动力电池梯次利用的微电网容量优化配置方法。以微电网经济效益、企业环保指数、能源损失指标三项指数为目标,建立了多目标储能容量优化配置模型,采用快速非支配排序遗传算法(NSGAⅡ)对多目标优化模型进行求解,得出储能系统的最优配置容量。结合算例与未配置储能的微电网场景进行对比,在MATLAB平台进行仿真得出配置梯次电池可以显著提高三个评价指标性能,使容量配置结果更具有效性。Echelon use of retired EV batteries can not only ease the recovery and environmental pollution pressure brought by power battery decommissioning, but also can effectively improve resource utilization, bring considerable economic benefits. This paper presented a method to optimize the capacity allocation of micro-grids considering the use of power battery, Based on the three indexes of economic efficiency, enterprise environmental protection index and energy loss index, a multi-objective energy storage capacity optimal allocation model was established. The multi-objective optimization model was solved by fast non-dominated sorting genetic algorithm （ NSGA II ）. And compared with the non-configured storage of micro-network scenarios, the MATLAB platform simulation shows configuration of ladder battery can significantly improve the performance of the three evaluation indicators,the capacity configuration results are more effective.

关 键 词：微电网 梯次电池 多目标优化 储能系统 容量配置 

分 类 号：TM912[电气工程—电力电子与电力传动]