电工技术学报  2020, Vol. 35 Issue (14): 3116-3125    DOI: 10.19595/j.cnki.1000-6753.tces.190712
电能存储与储能装备 |
基于改进型凸优化算法的有轨电车混合储能系统容量配置帕累托解集
安星锟, 杨中平, 王玙, 林飞, 周宏达
北京交通大学电气工程学院 北京 100044
Pareto Solution Set of Tram Hybrid Energy Storage System Capacity Allocation Based on Improved Convex Optimization
An Xingkun, Yang Zhongping, Wang Yu, Lin Fei, Zhou Hongda
School of Electrical Engineering Beijing Jiaotong University 100044 China
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摘要 容量配置影响混合储能有轨电车的运行可行性与经济效益,是设计混合储能系统的基础环节。能量管理策略(EMS)与容量配置互相耦合,互为影响,基于这一特点,该文提出一种协同优化容量配置与能量管理策略的改进型凸优化(CVX)算法,求解容量配置的可行域,在可行域内构建一族等质量线,在每一条等质量线下寻找能耗最小的容量配置与EMS的最优组合解,获得混合储能系统质量与能耗的双目标帕累托前沿。与单储能系统相比较,混合储能系统质量轻、体积小,适合在对质量、体积要求严苛的情况下使用,在严苛的质量限制下,混合储能系统仍然是一种不可替代的解决方案。仿真结果对比表明,协同优化的EMS效率高,功率分配合理。
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关键词 有轨电车混合储能系统容量配置凸优化帕累托解集    
Abstract:Capacity allocation affects the operational feasibility and economic benefits of hybrid electric tram, which is the basic link in the design of hybrid electric system. Energy management strategy (EMS) and capacity allocation are coupled and influenced each other. Based on this characteristic, an improved convex (CVX) optimization algorithm for collaborative optimization of capacity allocation and energy management strategy is proposed. Firstly, the feasible region of capacity allocation is solved, and a family of equal weight lines is constructed in the feasible region. Under each equal weight line, the optimal group point of capacity allocation and EMS with minimum energy consumption is found. The dual-objective Pareto frontier of hybrid power system weight and energy consumption is obtained. Compared with the single energy storage system, the hybrid energy storage system is light in weight and small in volume. It is suitable for the situations with strict requirements on weight and volume. The simulation comparison shows that the EMS of collaborative optimization is efficient and the power distribution is reasonable.
Key wordsTramcar    hybrid energy storage system    capacity configuration    convex optimization    Pareto solution set   
收稿日期: 2019-06-12     
PACS: TM921  
基金资助:中央高校基本科研业务费专项资金(2018YJS153)和国家重点研发计划项目(“十三五”计划)(2017YFB1201105)资助
通讯作者: 杨中平 男,1970年生,教授,博士生导师,研究方向为轨道交通电力牵引传动和节能技术。E-mail: zhpyang@bjtu.edu.cn   
作者简介: 安星锟 男,1994年生,硕士研究生,研究方向为城市轨道交通车载混合储能技术。E-mail: 17121411@bjtu.edu.cn
引用本文:   
安星锟, 杨中平, 王玙, 林飞, 周宏达. 基于改进型凸优化算法的有轨电车混合储能系统容量配置帕累托解集[J]. 电工技术学报, 2020, 35(14): 3116-3125. An Xingkun, Yang Zhongping, Wang Yu, Lin Fei, Zhou Hongda. Pareto Solution Set of Tram Hybrid Energy Storage System Capacity Allocation Based on Improved Convex Optimization. Transactions of China Electrotechnical Society, 2020, 35(14): 3116-3125.
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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.190712          https://dgjsxb.ces-transaction.com/CN/Y2020/V35/I14/3116