考虑充电站广义储能的多主体交易策略研究
刘志昂，吴成明
（三峡大学电气与新能源学院，湖北 宜昌 443002）
摘要：针对可再生能源、电动汽车和氢能能源交易中存在的利益分配和隐私泄露问题，构建了风电主体、电制
氢主体和充电站主体之间的能源交易模型与非能源交易模型，然后基于纳什谈判理论建立了风-氢-充电站多主体
能源交易模型，并将其分解为系统运行成本最小化问题（P1）和交易支付问题（P2）。最后，为了保护各主体能
源交易时的隐私，提出了基于交替方向乘子法的分布式算法，对P1 和P2 进行求解。仿真结果表明，随着电动汽
车基数的增加和充电时刻的不同，充电站的可调度潜力曲线变得平稳且充足，该交易策略有效促进了风电的消
纳，提升了各主体的利益。
关键词：电动汽车充电站；纳什谈判；交替方向乘子法；容量最优配置；可再生能源消纳
中图分类号：TM727      文献标志码：A      文章编号：2095-0802-(2024)02-0020-08
Considering Generalized Energy Storage of Charging Station Research on
Multi-agent Trading Strategy
LIU Zhiang, WU Chengming
(College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, Hubei, China)
Abstract: Aiming at the benefit distribution and privacy disclosure in energy trading for renewable energy, electric
vehicles and hydrogen, this paper constructed the operation model including WT agent, power to hydrogen agent and
charging station agent. Then, based on Nash bargaining theory, a multi-agent cooperative operation model of windhydrogen-
charging station was established. It was decomposed into the problem of minimizing system operating costs (P1)
and the transaction payment problem (P2). Finally, in order to protect the privacy of energy trading among various agents,
a distributed algorithm based on alternating direction method of multipliers was proposed to solve P1 and P2. The
simulation results show that with the increase of the base of electric vehicles and the difference of charging time, the
schedulable potential curve of charging stations becomes stable and sufficient, and this trading strategy effectively
promotes the consumption of wind power and improves the interests of all entities.
Key words: electric vehicle charging station; Nash bargaining; alternating direction method of multipliers; optimal
capacity allocation; renewable energy consumption