基于主从博弈的多微电网能量交易优化方法

doi:doi:10.19912/j.0254-0096.tynxb.2024-0719

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基于主从博弈的多微电网能量交易优化方法

更新时间：2025-10-22

- 基于主从博弈的多微电网能量交易优化方法
- Vol. 46, Issue 9, Pages: 642-649(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0719
  CLC： TM73
- Published Online：14 October 2025，
  
  Published：2025
- 稿件说明：
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[J]. 2025, 46(9): 642-649.
DOI：

[J]. 2025, 46(9): 642-649. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0719.

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.

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references

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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