摘要
针对充电站充电负荷的波动性和不确定性特点,提出了计及充电负荷不确定性的充电站储能鲁棒优化配置方法。首先,建立了多面体不确定集描述电动汽车充电负荷的波动性与不确定性。随后,建立了储能系统容量优化配置模型,同时,在优化配置模型中利用储能电池可变寿命模型,实现多约束条件下的储能系统综合成本最小化,使得充电站可以在增加较少综合成本的情况下应对负荷的随机波动。最后,基于鲁棒优化理论实现不确定模型从随机参数到确定性参数模型的转换,结合网格自适应直接搜索算法得到储能系统最佳配置参数。算例通过与确定性算法的对比,验证了所提方法的可行性。
Aiming at the characteristics of the fluctuation and uncertainty of the charging load in the charging station, a robust optimization configuration method for energy storage of the charging station considering the charging load uncertainty is proposed.Firstly, a polyhedral uncertain set is established to describe the fluctuation and uncertainty of charging load of electric vehicles.Then, the optimal configuration model of energy storage system capacity is established. At the same time, the variable life model of the energy storage battery is used in the optimal configuration model to minimize the comprehensive cost of the energy storage system under multiple constraints, so that the charging station can cope with the random fluctuation of load with less comprehensive cost. Finally, based on the robust optimization theory, the uncertain model is transformed from the stochastic parameter optimization model to the deterministic parameter model, and the optimal configuration parameters of the energy storage system are obtained by combining the mesh adaptive direct search algorithm. Compared with the deterministic algorithm, the feasibility of the proposed method is verified by a case.
作者
石锦凯
鲍谚
陈振
姜振宇
张维戈
SHI Jinkai;BAO Yan;CHEN Zhen;JIANG Zhenyu;ZHANG Weige(National Active Distribution Network Technology Research Center,Beijing Jiaotong University,Beijing 100044,China;Electric Power Research Institute of State Grid Beijing Electric Power Company,Beijing 100076,China;Metering Center of State Grid Jibei Electric Power Co.,Ltd.,Beijing 102208,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2021年第20期49-58,共10页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2016YFB0900500)。
关键词
不确定集
网格自适应直接搜索
鲁棒优化
寿命预测
储能配置
uncertain set
mesh adaptive direct search
robust optimization
lifetime prediction
energy storage configuration
