A Two-stage Collaborative Operation Strategy for Community Integrated Energy Service Provider and Microgrid Group Based on Mixed Game

Zhenkun LI; Runan WANG; Chen XU; Zhiquan ZHANG; Shanshan SHI; Chen FANG

doi:10.19725/j.cnki.1007-2322.2023.0087

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A Two-stage Collaborative Operation Strategy for Community Integrated Energy Service Provider and Microgrid Group Based on Mixed Game

Energy Internet | 更新时间：2025-10-13

- A Two-stage Collaborative Operation Strategy for Community Integrated Energy Service Provider and Microgrid Group Based on Mixed Game
- Modern Electric Power Vol. 42, Issue 2, Pages: 302-313(2025)
- 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：
- 基金信息：
  
  Project Supported by the National Natural Science Foundation of China (U2066214); Shanghai Science and Technology Commission Project (21010501200).
- DOI：10.19725/j.cnki.1007-2322.2023.0087
  CLC： TM73
- Received：10 March 2023，
  
  Accepted：11 October 2023，
  
  Published：10 April 2025
- 稿件说明：
移动端阅览
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：

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

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