基于主从博弈的多微电网能量交易优化方法

周荔丹, 宋修涵, 于天佑, 王子强, 唐轶

太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 642-649.

PDF(1129 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1129 KB)
太阳能学报 ›› 2025, Vol. 46 ›› Issue (9) : 642-649. DOI: 10.19912/j.0254-0096.tynxb.2024-0719

基于主从博弈的多微电网能量交易优化方法

  • 周荔丹1, 宋修涵1, 于天佑2, 王子强2, 唐轶3
作者信息 +

ENERGY TRADING OPTIMIZATION METHOD FOR MULTI-MICROGRID SYSTEMS BASED ON STACKELBERG GAME

  • Zhou Lidan1, Song Xiuhan1, Yu Tianyou2, Wang Ziqiang2, Tang Yi3
Author information +
文章历史 +

摘要

为解决配网侧多微电网系统电力市场能量交易问题,提出一种基于主从博弈的多微电网能量交易优化方法。首先,通过单微电网优化策略确定博弈阶段微电网储能出力以及交易状态;其次,将微电网运行调度优化结果与配电网运营商(DSO)进行交互,建立主从博弈模型,以内部电价与可调度能源为策略进行博弈。所提方法优化运行目标为降低微电网运行成本、提高DSO的运行效益、减少多微电网对区域电网的冲击,通过仿真案例验证博弈策略的可行性。

Abstract

To solve the problem of energy trading in the power market of multi-microgrid systems in the distribution network side, this paper proposes an optimization method for energy trading in multi-microgrid systems based on Stackelberg game. Firstly, the energy storage output and transaction status of the microgrid in the game stage are determined by single microgrid optimization strategy. Secondly, the optimization results of microgrid operation scheduling are interacted with the distribution system operator (DSO), and a Stackelberg game model is established to engage in the game with internal electricity prices and dispatchable energy as the strategy. The optimization operation objective of the proposed method is to reduce the operation cost of microgrid, improve the operation efficiency of DSO, and reduce the impact of the multi-microgrid on regional power grid. The feasibility of the game strategy is verified by simulation cases.

关键词

多微电网 / 主从博弈 / 电力市场 / 能量交易 / 优化调度 / 能量管理

Key words

multi-microgrid systems / Stackelberg game / electricity market / energy transaction / optimal operation / energy management

引用本文

导出引用
周荔丹, 宋修涵, 于天佑, 王子强, 唐轶. 基于主从博弈的多微电网能量交易优化方法[J]. 太阳能学报. 2025, 46(9): 642-649 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0719
Zhou Lidan, Song Xiuhan, Yu Tianyou, Wang Ziqiang, Tang Yi. ENERGY TRADING OPTIMIZATION METHOD FOR MULTI-MICROGRID SYSTEMS BASED ON STACKELBERG GAME[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 642-649 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0719
中图分类号: TM73   

参考文献

[1] 向月, 刘俊勇, 魏震波, 等. 考虑可再生能源出力不确定性的微电网能量优化鲁棒模型[J]. 中国电机工程学报, 2014, 34(19): 3063-3072.
XIANG Y, LIU J Y, WEI Z B, et al. Robust model of microgrid energy optimization with uncertain renewable energy sources[J]. Proceedings of the CSEE, 2014, 34(19): 3063-3072.
[2] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
SHU Y B, ZHANG Z G, GUO J B, et al. Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[3] 桑博, 张涛, 刘亚杰, 等. 多微电网能量管理系统研究综述[J]. 中国电机工程学报, 2020, 40(10): 3077-3093.
SANG B, ZHANG T, LIU Y J, et al. Energy management system research of multi-microgrid: a review[J]. Proceedings of the CSEE, 2020, 40(10): 3077-3093.
[4] 李鹏, 窦鹏冲, 李雨薇, 等. 微电网技术在主动配电网中的应用[J]. 电力自动化设备, 2015, 35(4): 8-16.
LI P, DOU P C, LI Y W, et al. Application of microgrid technology in active distribution network[J]. Electric power automation equipment, 2015, 35(4): 8-16.
[5] 朱永胜, 杨俊林, 刘洲峰, 等. 基于博弈论的风-光-车容量配置研究[J]. 太阳能学报, 2020, 41(9): 95-103.
ZHU Y S, YANG J L, LIU Z F, et al. Research on capacity allocation of WIND-PV-EV based on game theory[J]. Acta energiae solaris sinica, 2020, 41(9): 95-103.
[6] 蒋卓成, 刘继春, 魏昭彬, 等. 计及不同类型用户需求的售电公司投资、运营、运行一体化竞争力提升策略[J]. 电力自动化设备, 2023, 43(5): 243-251.
JIANG Z C, LIU J C, WEI Z B, et al. Competitiveness improving strategy for electricity retailer integrating with investment, marketing and operation considering needs of different types of users[J]. Electric power automation equipment, 2023, 43(5): 243-251.
[7] 王晛, 张凯, 张少华, 等. 风电参与投标竞争的多能源市场博弈分析[J]. 太阳能学报, 2021, 42(1): 279-285.
WANG X, ZHANG K, ZHANG S H, et al. Game analysis of multi-energy markets considering wind power bidding[J]. Acta energiae solaris sinica, 2021, 42(1): 279-285.
[8] ZHAO B, WANG X J, LIN D, et al.Energy management of multiple microgrids based on a system of systems architecture[J]. IEEE transactions on power systems, 2018, 33(6): 6410-6421.
[9] WANG Z Y, CHEN B K, WANG J H, et al.Coordinated energy management of networked microgrids in distribution systems[J]. IEEE transactions on smart grid, 2015, 6(1): 45-53.
[10] LEI Y, WANG D, JIA H J, et al.Multi-stage stochastic planning of regional integrated energy system based on scenario tree path optimization under long-term multiple uncertainties[J]. Applied energy, 2021, 300: 117224.
[11] 程乐峰. 电力市场多群体策略博弈的长期演化稳定均衡理论研究[D]. 广州: 华南理工大学, 2019.
CHENG L F. Theoretical investigation on the long-term evolutionarily stable equilibrium of multi-population strategic games in electricity market[D]. Guangzhou: South China University of Technology, 2019.
[12] 祝荣, 任永峰, 孟庆天, 等. 基于合作博弈的综合能源系统电-热-气协同优化运行策略[J]. 太阳能学报, 2022, 43(4): 20-29.
ZHU R, REN Y F, MENG Q T, et al. Electricity-heat-gas cooperative optimal operation strategy of integrated energy system based on cooperative game[J]. Acta energiae solaris sinica, 2022, 43(4): 20-29.
[13] 芮涛, 李国丽, 王群京, 等. 配电侧多微电网日前电能交易纳什议价方法[J]. 电网技术, 2019, 43(7): 2576-2585.
RUI T, LI G L, WANG Q J, et al. Nash bargaining method for multi-microgrid energy trading in distribution network[J]. Power system technology, 2019, 43(7): 2576-2585.
[14] LI J Y, ZHANG C R, XU Z, et al.Distributed transactive energy trading framework in distribution networks[J]. IEEE transactions on power systems, 2018, 33(6): 7215-7227.
[15] 刘念, 赵璟, 王杰, 等. 基于合作博弈论的光伏微电网群交易模型[J]. 电工技术学报, 2018, 33(8): 1903-1910.
LIU N, ZHAO J, WANG J, et al. A trading model of PV microgrid cluster based on cooperative game theory[J]. Transactions of China Electrotechnical Society, 2018, 33(8): 1903-1910.
[16] ZHANG N, HU Z G, DAI D H, et al.Unit commitment model in smart grid environment considering carbon emissions trading[J]. IEEE transactions on smart grid, 2016, 7(1): 420-427.
[17] ZHANG M R, CHEN J.The energy management and optimized operation of electric vehicles based on microgrid[J]. IEEE transactions on power delivery, 2014, 29(3): 1427-1435.
[18] LIU N, CHENG M Y, YU X H, et al.Energy-sharing provider for PV prosumer clusters: a hybrid approach using stochastic programming and Stackelberg game[J]. IEEE transactions on industrial electronics, 2018, 65(8): 6740-6750.
[19] LIU N, YU X H, WANG C, et al.Energy sharing management for microgrids with PV prosumers: a Stackelberg game approach[J]. IEEE transactions on industrial informatics, 2017, 13(3): 1088-1098.
[20] 李学平, 王健民, 卢志刚, 等. 基于非合作博弈与收益共享契约的能源服务商定价策略[J]. 电力自动化设备, 2022, 42(3): 1-8.
LI X P, WANG J M, LU Z G, et al. Pricing strategy of energy service provider based on non-cooperative game and revenue sharing contract[J]. Electric power automation equipment, 2022, 42(3): 1-8.
[21] 林凯骏, 吴俊勇, 刘迪, 等. 基于双层Stackelberg博弈的微能源网能量管理优化[J]. 电网技术, 2019, 43(3): 973-983.
LIN K J, WU J Y, LIU D, et al. Energy management optimization of micro energy grid based on hierarchical Stackelberg game theory[J]. Power system technology, 2019, 43(3): 973-983.

基金

基于多目标优化的混合能量管理系统验证平台(22GFC-JJ12-476)

PDF(1129 KB)

Accesses

Citation

Detail

段落导航
相关文章

/