引用本文:程杉,倪凯旋,赵孟雨.基于Stackelberg博弈的充换储一体化电站微电网双层协调优化调度[J].电力自动化设备,2020,40(6):
CHENG Shan,NI Kaixuan,ZHAO Mengyu.Stackelberg game based bi-level coordinated optimal scheduling of microgrid accessed with charging-swapping-storage integrated station[J].Electric Power Automation Equipment,2020,40(6):
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基于Stackelberg博弈的充换储一体化电站微电网双层协调优化调度
程杉1,2, 倪凯旋1,2, 赵孟雨1,2
1.三峡大学 新能源微电网湖北省协同创新中心,湖北 宜昌 443002;2.三峡大学 电气与新能源学院,湖北 宜昌 443002
摘要:
针对电动汽车充换储一体化电站(CSSIS)与微电网所有权不同的微电网经济运行问题,建立基于Stackelberg博弈的双层优化调度模型。上层微电网作为领导者,以自身收益最大为目标函数,制定与下层CSSIS进行电能交易的内部电价;下层CSSIS作为跟随者,根据内部电价调整自身充、放电计划,以最大化自身收益。采用差分进化算法和Gurobi软件分别对上、下层优化问题进行求解,得到最优内部电价和CSSIS的最优充、放电计划。仿真算例表明,所提算法可以有效求解微电网与CSSIS交互的均衡策略,不仅能同时提高两者收益,还能更有效地利用CSSIS资源。
关键词:  微电网  充换储一体化电站  Stackelberg博弈  内部电价  差分进化算法
DOI:10.16081/j.epae.202006008
分类号:TM727
基金项目:国家自然科学基金资助项目(51607105)
Stackelberg game based bi-level coordinated optimal scheduling of microgrid accessed with charging-swapping-storage integrated station
CHENG Shan1,2, NI Kaixuan1,2, ZHAO Mengyu1,2
1.Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, China Three Gorges University, Yichang 443002, China;2.College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Abstract:
Aiming at the economic operation problem of microgrid with different ownership of EV(Electric Vehicle) CSSIS(Charging-Swapping-Storage Integrated Station) and microgrid, a bi-level optimal scheduling model based on Stackelberg game is established. As a leader, the upper microgrid takes its maximum profit as the objective function and formulates the internal price for electricity trading with the lower CSSIS. As a follower, the lower CSSIS adjusts its charging and discharging plan according to the internal electricity price to achieve its maximum profit. The differential evolution algorithm and Gurobi software are used to solve the upper and lower optimization problems respectively, and the optimal internal electricity price and optimal charging and discharging plan of CSSIS are obtained. The simulative case shows that the proposed algorithm can effectively solve the interactive equilibrium strategy between microgrid and CSSIS, which can not only improve the profits of both, but also use CSSIS resource more effectively.
Key words:  microgrid  CSSIS  Stackelberg game  internal electricity price  differential evolution algorithm

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