第 52 卷 第 2 期 电力系统保护与控制 Vol.52 No.2
2024年1 月16 日 Power System Protection and Control Jan. 16, 2024
DOI: 10.19783/j.cnki.pspc.230860
基于双层博弈的配电网与多综合能源微网协调优化
孙文杰 1
,武家辉 1
,张 强 2
(1.新疆大学可再生能源发电与并网控制教育部工程研究中心,新疆 乌鲁木齐 830017;
2.国网新疆综合能源服务有限公司,新疆 乌鲁木齐 841100)
摘要:为充分挖掘综合能源微网(integrated energy microgrid, IEM)的潜在价值,促进可再生能源消纳,针对同一配
电网下的多个 IEM 协同管理问题进行研究,提出了一种基于双层博弈的配电网-多 IEM 协同优化模型。对于 IEM
模型的构建,考虑在热电联产机组中加入碳捕集系统以及电转气装置,用来获取低碳效益。同时,针对 IEM 中可
再生能源与负荷不确定性问题,采用鲁棒区间规划进行处理。首先,构建配电网运营商(distribution system operator,
DSO)与 IEM 联盟系统模型框架,分析其不同主体间的博弈关系。其次,对于双层博弈,分为主从博弈与合作博
弈。DSO 作为博弈领导者,以自身效益最大为目标制定电价引导 IEM 联盟响应。IEM 联盟作为博弈跟随者,以
自身运行成本最小为目标,通过成员间互相合作能源共享响应 DSO 的决策。同时采用纳什谈判理论解决 IEM 联
盟的合作运行问题,使用二分法与交替方向乘子法结合求解模型。最后,在算例中验证所提模型与方法的可行性
和有效性。
关键词:综合能源微网;配电网运营商;双层博弈;碳捕集;鲁棒区间规划;纳什谈判
Coordinated optimization of a distribution network and multi-integrated energy microgrid
based on a double-layer game
SUN Wenjie1
, WU Jiahui1
, ZHANG Qiang2
(1. Engineering Research Center for Renewable Energy Power Generation and Grid-Connection Control,
Ministry of Education, Xinjiang University, Urumqi 830017, China; 2. State Grid Xinjiang
Comprehensive Energy Service Co., Urumqi 841100, China)
Abstract: To fully explore the potential value of the integrated energy microgrid (IEM) and promote the consumption of
renewable energy, a two-layer game-based distribution network-multiple IEM cooperative optimization model is proposed to
address the problem of cooperative management of multiple IEMs in the same distribution network. For the construction of
the IEM model, a carbon capture system and an electricity-to-gas conversion device are added to the cogeneration units to
obtain low-carbon benefits. At the same time, robust interval planning is used to deal with the problems of renewable energy
and load uncertainty in the IEM. This paper initially establishes the framework of the alliance system between the DSO and
IEMs, analyzing the game dynamics among various players. Subsequently, the two-layer game is further categorized into a
master-slave game and a cooperative game. The DSO, as the game leader, sets the tariff to guide the IEM coalition to
optimize with the goal of maximizing its own benefit. And the IEM coalition, as the game follower, responds to the DSO's
decision by cooperating with members to share energy with the goal of minimizing its own operating cost. At the same time,
Nash negotiation theory is used to solve the cooperative operation problem of the IEM coalition, and the dichotomous
method and alternating direction multiplier method (ADMM) are combined to analyze the model. Finally, an illustrative
example is presented to validate the feasibility and effectiveness of the proposed model and methodology.
This work is supported by the National Natural Science Foundation of China (No. 52167016).
Key words: integrated energy microgrid; distribution network operators; two-layer game; carbon capture; robust interval
optimization; Nash bargaining game
基金项目:国家自然科学基金项目资助(52167016);新疆维吾尔自治区重点实验室开放课题(2023D04071)