基于混合博弈的社区综合能源服务商与微网群二阶段协同运行策略

李振坤; 王茹楠; 徐琛; 张智泉; 时珊珊; 方陈

doi:10.19725/j.cnki.1007-2322.2023.0087

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基于混合博弈的社区综合能源服务商与微网群二阶段协同运行策略

能源互联网 | 更新时间：2025-10-13

- 基于混合博弈的社区综合能源服务商与微网群二阶段协同运行策略
- A Two-stage Collaborative Operation Strategy for Community Integrated Energy Service Provider and Microgrid Group Based on Mixed Game
- 现代电力 2025年42卷第2期页码：302-313
- 作者机构：
  
  1.上海电力大学电气工程学院, 上海市杨浦区 200090
  2.国网上海市电力公司电力科学研究院, 上海市虹口区 200437
- 作者简介：
  
  [ "李振坤(1982)，男，博士，教授，博士生导师，研究方向为主动配电网规划运行、分布式电源与微电网、海上风电并网规划及运行等，E-mail：lzk021@163.com" ]
  [ "王茹楠(1999)，女，硕士研究生，研究方向为氢电耦合系统的优化配置及运行，E-mail：wrn19990401@163.com" ]
  [ "徐琛(1996)，男，硕士研究生，研究方向为综合能源系统优化运行，E-mail：1975876868@qq.com" ]
  [ "张智泉(1984)，男，博士，讲师，通信作者，研究方向为综合能源系统优化运行、多能市场运营方法，E-mail：zzhiquan@126.com" ]
- 基金信息：
  
  国家自然科学基金重点项目（U2066214）；上海科学技术委员会项目（21010501200）。
- DOI：10.19725/j.cnki.1007-2322.2023.0087
  中图分类号： TM73
- 收稿：2023-03-10，
  
  录用：2023-10-11，
  
  纸质出版：2025-04-10
- 稿件说明：
移动端阅览
李振坤, 王茹楠, 徐琛, 等. 基于混合博弈的社区综合能源服务商与微网群二阶段协同运行策略[J]. 现代电力, 2025,42(2):302-313.

Zhenkun LI, Runan WANG, Chen XU, et al. A Two-stage Collaborative Operation Strategy for Community Integrated Energy Service Provider and Microgrid Group Based on Mixed Game[J]. Modern electric power, 2025, 42(2): 302-313.
李振坤, 王茹楠, 徐琛, 等. 基于混合博弈的社区综合能源服务商与微网群二阶段协同运行策略[J]. 现代电力, 2025,42(2):302-313. DOI： 10.19725/j.cnki.1007-2322.2023.0087.

Zhenkun LI, Runan WANG, Chen XU, et al. A Two-stage Collaborative Operation Strategy for Community Integrated Energy Service Provider and Microgrid Group Based on Mixed Game[J]. Modern electric power, 2025, 42(2): 302-313. DOI： 10.19725/j.cnki.1007-2322.2023.0087.

摘要

针对多微网与上级能源网络协同优化运行的问题，提出一种基于混合博弈的社区综合能源服务商（community integrated energy service provider，CIESP）与微网群的二阶段协同运行策略。首先，构建了CIESP与微网群能源交易的基本框架；其次，针对源荷不确定性，采用蒙特卡洛法生成大量随机场景，并通过K-means聚类进行场景削减；接着，将主从博弈和合作博弈相结合，建立CIESP与微网群的混合博弈模型，其中，CIESP为领导者，以自身收益最大为目标，通过制定与微网群的能源交易价格引导微网群优化运行，微网群为跟随者，以群运行成本最小为目标，通过合作来对CIESP的定价决策进行响应；然后，基于纳什谈判理论，将模型下层各微网之间的合作博弈转化为联盟成本最小化和合作收益分配两个子问题。最后，采用差分进化算法结合交替方向乘子法对模型进行求解，算例仿真验证了所提方法能够兼顾各方利益的同时促进新能源消纳并降低碳排放。

Abstract

Aiming to address the collaborative optimization problem of multi-microgrid and superior energy network

in this paper we propose a two-stage cooperative operation strategy of community integrated energy service provider (CIESP) and microgrid group based on mixed game. Firstly

the energy trading framework of CIESP and microgrid group is constructed. Secondly

considering source-load uncertainty

a large number of random scenarios are generated by Monte Carlo method

followed by the scenario reduction by K-means clustering. Then

combining the master-slave game and cooperative game

a mixed game model of CIESP and microgrid group is established. The CIESP assumes the role of the leader

aiming to maximize its own profit and guiding the optimal operation of microgrid group by formulating the energy transaction price with microgrid group. On the other hand

and the microgrid group acts as a follower

aiming to minimize the operating cost of the group and responding to the pricing decision of CIESP through cooperation. The application of the Nash bargaining theory enables the transformation of the cooperative game between the microgrids at the lower layer of the model into two sub-problems

alliance cost minimization and cooperation income allocation. The combination of differential evolution (DE) algorithm and the alternating direction multiplier method (ADMM) is utilized to solve the model

and the simulation results demonstrate that the proposed method can effectively promote new energy consumption and reduce carbon emissions

while also taking into account the interests of all parties.

关键词

Keywords

references

张显, 史连军. 中国电力市场未来研究方向及关键技术[J]. 电力系统自动化, 2020, 44(16): 1−11.

ZHANG Xian, SHI Lianjun. Future research directions and key technologies of China's power market[J]. Automation of Electric Power Systems, 2020, 44(16): 1−11(in Chinese).

骆钊, 刘德文, 沈鑫, 等. 综合能源系统优化运行技术研究综述[J]. 电力建设, 2022, 43(12): 3−14.

LUO Zhao, LIU Dewen, SHEN Xin, et al . Summary of research on optimal operation technology of integrated energy system[J ] . Electric Power Construction, 2022, 43(12): 3−14(in Chine se).

刘迎澍, 陈曦, 李斌, 等. 多微网系统关键技术综述[J]. 电网技术, 2020, 44(10): 3804−3820.

LIU Yingshu, CHEN Xi, LI Bin, et al . Overview of key technologies of multi-microgrid system[J ] . Power System Technology, 2020, 44(10): 3804−3820(in Chinese).

杜炜, 窦迅, 王镇, 等. 考虑热电余量交易的微网群优化调度[J]. 电网技术, 2020, 44(10): 3777−3786.

DU Wei, DOU Xun, WANG Zhen, et al . Optimal dispatch of micro-group considering thermal power margin trading[J ] . Power System Technology, 2020, 44(10): 3777−3786(in Chinese).

李鹏, 吴迪凡, 李雨薇, 等. 基于谈判博弈的多微网综合能源系统多目标联合优化配置[J]. 电网技术, 2020, 44(10): 3680−3690.

LI Peng, WU Difan, LI Yuwei, et al . Multi-objective joint optimal allocation of multi-microgrid integrated energy system based on negotiation game[J ] . Power System Technology, 2020, 44(10): 3680−3690(in Chinese).

李鹏, 吴迪凡, 李雨薇, 等. 基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J]. 中国电机工程学报, 2021, 41(04): 1307−1321+1538.

LI Peng, WU Difan, LI Yuwei, et al . Optimal scheduling strategy of multi-microgrid integrated energy system based on comprehensive demand response and master-slave game[J ] . Proceedings of the CSEE, 2021, 41(04): 1307−1321+1538(in Chinese).

米阳, 赵海辉, 付起欣, 等. 考虑风光不确定与碳交易的区域综合能源系统双层博弈优化运行[J]. 电网技术2023, 47(6): 2174−2188.

MI Yang, ZHAO Haihui, FU Qixin, et al . Double-layer game optimization operation of regional integrated energy system considering wind and wind uncertainty and carbon trading [J ] . Power System Technology, 2023, 47(6): 2174−2188(in Chinese).

马腾飞, 裴玮, 肖浩, 等. 基于纳什谈判理论的风-光-氢多主体能源系统合作运行方法[J]. 中国电机工程学报, 2021, 41(01): 25−39+395.

MA Tengfei, PEI Wei, XIAO Hao, et al . Cooperative operation method of wind-light- hydrogen multi-agent energy system based on Nash negotiation theory[J ] . Proceedings of the CSEE, 2021, 41(01): 25−39+395(in Chinese).

崇志强, 陈培育, 李树青, 等. 基于合作博弈论的P2P电力交易方法[J]. 电力系统及其自动化学报, 2021, 33(12): 87−92+100.

CHONG Zhiqiang, CHEN Peiyu, LI Shuqing, et al . P2P power trading method based on cooperative game theory[J ] . Proceedings of the CSU-EPSA, 2021, 33(12): 87−92+100(in Chinese).

顾欣, 王琦, 胡云龙, 等. 基于纳什议价的多微网综合能源系统分布式低碳优化运行策略[J]. 电网技术, 2022, 46(04): 1464−1482.

GU Xin, WANG Qi, HU Yunlong, et al . Distributed low-carbon optimal operation strategy of multi-microgrid integrated energy system based on Nash bargaining[J ] . Power System Technology, 2022, 46(04): 1464−1482(in Chinese).

王再闯, 陈来军, 李笑竹, 等. 基于合作博弈的能源共享模式下多园区低碳优化调度[J]. 高电压技术, 2023, 49(4): 1380−1391.

WANG Zaichuang, CHEN Laijun, LI Xiaozhu, et al . Low-carbon optimal scheduling of multi-parks under the energy sharing mode based on cooperativegame [J ] . High Voltage Engineering, 2023, 49(4): 1380−1391(in Chinese).

WAYES T, KUMAR T S, CHAU Y, et al . Grid influenced peer-to-peer energy trading[J ] . IEEE Transactions on Smart Grid, 2020, 11(2): 1407−1418.

程杉, 陈梓铭, 王瑞, 等. 基于混合博弈的多微电网双层协调优化调度[J]. 电力自动化设备, 2021, 41(08): 41−46.

CHENG Shan, CHEN Ziming, WANG Rui, et al . Multi-microgrid two-level coordinated and optimized dispatching based on hybrid game[J ] . Electric Power Automation Equipment, 2021, 41(08): 41−46(in Chinese).

陈乐飞, 朱自伟, 王凯, 等. 基于混合博弈的配电网与多综合能源微网优化运行[J]. 电网技术, 2023, 47(6): 2174−2188.

CHEN Lefei, ZHU Ziwei, WANG Kai, et al . Optimal operation of distribution network and multi-integrated energy microgrid based on hybrid game [J ] . Power System Technology, 2023, 47(6): 2174−2188(in Chinese).

陈倩, 王维庆, 王海云. 计及需求响应和混合博弈含多微网主动配电网协调优化[J]. 电力系统自动化2023,47(9):99-109.

CHEN Qian, WANG Weiqing, WANG Haiyun. Considering demand response and hybrid game, including multi-microgrid active distribution network coordination and optimization [J]. Automation of Electric Power Systems, 2023, 47(9): 99-109(in Chinese).

刘畅, 刘文霞, 高雪倩, 等. 基于主从博弈的配电网–多综合能源系统协调规划[J]. 电力自动化设备, 2022, 42(06): 45−52.

LIU Chang, LIU Wenxia, GAO Xueqian, et al . Coordinated planning of distribution network - multiple integrated energy system based on master-slave game[J ] . Electric Power Automation Equipment, 2022, 42(06): 45−52(in Chinese).

CHEN J J, QI B X, RONG Z K, et al . Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement[J ] . Energy, 2021, 217: 119387.

王俐英, 林嘉琳, 宋美琴, 等. 考虑需求响应激励机制的园区综合能源系统博弈优化调度[J]. 控制与决策, 2023, 38(11): 3192−3200.

WANG Liying, LIN Jialin, SONG Meiqin, et al . Game optimization and scheduling of park comprehensive energy system considering demand response incentive mechanism [J ] . Control and Decision, 2023, 38(11): 3192−3200(in Chinese).

肖浩, 裴玮, 董佐民, 等. 基于元模型全局最优化方法的含分布式电源配电网无功优化[J]. 中国电机工程学报, 2018, 38(19): 5751−5762+5931.

XIAO Hao, PEI Wei, DONG Zuomin, et al . Reactive power optimization of distribution network with distributed power based on meta-model global optimization method[J ] . Proceedings of the CSEE, 2018, 38(19): 5751−5762+5931(in Chinese).

DEHGHANPOUR K, NEHRIR H. An agent-based hierarchical bargaining framework for power management of multiple cooperative microgrids[J]. IEEE Transactions on Smart Grid, 2019, 10(1): 514−522.

秦婷, 刘怀东, 王锦桥, 等. 基于碳交易的电–热–气综合能源系统低碳经济调度[J]. 电力系统自动化, 2018, 42(14): 8−13+22.

QIN Ting, LIU Huaidong, WANG Jinqiao, et al . Low-carbon economic dispatch of electricity-heat-gas integrated energy system based on carbon trading[J ] . Automation of Electric Power Systems, 2018, 42(14): 8−13+22(in Chinese).

沈鑫, 邹德旋, 张强. 采用双变异策略的自适应差分进化算法及应用[J]. 计算机工程与应用, 2020, 56(04): 146−157.

SHEN Xin, ZOU Dexuan, ZHANG Qiang. Adaptive differential evolution algorithm and application using double mutation strategy[J]. Computer Engineering and Applications, 2020, 56(04): 146−157(in Chinese).

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(07): 2576−2585.

RUI Tao, LI Guoli, WANG Qunjing, et al . Nash bargaining method for multi-micro-grid day-ahead power trading on the distribution side[J ] . Power System Technology, 2019, 43(07): 2576−2585(in Chinese).

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