摘要
光伏换电站是电动汽车充放电设施与可再生能源集成利用的典型形式之一,该文提出一种考虑动力电池梯次利用的光伏换电站容量优化配置方法。在一定的系统结构及能量交换策略下,根据电动汽车换电需求,以光伏换电站的年最大利润为目标,建立了系统容量优化配置模型。为确定动力电池逐年的梯次利用容量,参考容量退化模型和电动汽车日行驶里程的统计模型,建立了基于蒙特卡洛模拟法的动力电池梯次利用容量计算模型。采用微分进化算法求解优化模型,并重点分析了系统年运营利润的计算过程。以某地区的光伏换电站规划为算例,分析验证了模型的合理性。
The PV-based battery swapping station（BSS） is one of the typical forms of the integration of electric vehicle（EV） charging infrastructure and renewable energy utilization.This paper proposed a capacity optimization method of the PV-based BSS considering second-use of EV batteries.Based on a certain system architecture and energy exchange strategy,the objective function of the capacity optimization model was established with the objective of the maximum annual profit of the PV-based BSS according to the energy exchange demand of EVs.In order to determine second-use capacity of EV batteries in every year,the calculation model was established by Monte Carlo simulation method on the basis of EV battery capacity degradation model and statistical model of EV daily driving distance.Differential evolution（DE） algorithm was adopted to solve the optimization model and the calculation procedure of system annual profit was analyzed in detail.Finally,the planning of the PV-based BSS in a certain area was taken as an example.The analysis verifies the reasonableness of the capacity optimization model presented in this paper.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2013年第4期34-44,6,共11页
Proceedings of the CSEE
基金
国家科技支撑计划重大项目(2011BAG02B14)
国家自然科学基金面上项目(51277067)~~
关键词
动力电池
光伏换电站
容量优化配置
梯次利用
electric vehicle batteries
PV-based battery swapping station
capacity optimization
second-use
