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

doi:10.19595/j.cnki.1000-6753.tces.190712

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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 words： Tramcar hybrid energy storage system capacity configuration convex optimization Pareto solution set

Received: 12 June 2019

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TM921

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	Articles by authors
	An Xingkun
	Yang Zhongping
	Wang Yu
	Lin Fei
	Zhou Hongda

Cite this article:

An Xingkun,Yang Zhongping,Wang Yu等. Pareto Solution Set of Tram Hybrid Energy Storage System Capacity Allocation Based on Improved Convex Optimization[J]. Transactions of China Electrotechnical Society, 2020, 35(14): 3116-3125.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190712 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I14/3116

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