基于主从博弈的社区综合能源系统分布式协同优化运行策略

doi:10.13334/j.0258-8013.pcsee.200141

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基于主从博弈的社区综合能源系统分布式协同优化运行策略

更新时间：2025-07-03

- 基于主从博弈的社区综合能源系统分布式协同优化运行策略
- Issue 17, Pages: 5435-5445(2020)
- 作者机构：
  
  山东大学控制科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.200141
  CLC： TK01;TM73
- Published：2020
- 稿件说明：
移动端阅览
[J]. 2020, (17): 5435-5445.
DOI：

[J]. 2020, (17): 5435-5445. DOI： 10.13334/j.0258-8013.pcsee.200141.

摘要

随着能源市场由传统的垂直一体式结构向交互竞争型结构转变

社区综合能源系统的分布式特征愈发明显

传统的集中优化方法难以揭示多主体间的交互行为。该文提出一种基于主从博弈的社区综合能源系统分布式协同优化运行策略

将综合能源销售商作为领导者

新能源冷热电联供运营商和负荷聚合商作为跟随者

求解各方在追求目标最优时的交互策略。首先

介绍社区综合能源系统的交易模式及数学模型

并将其嵌入到主从博弈框架下

建立一主多从的分布式协同优化模型。其次

证明Stackelberg均衡的唯一性

并通过遗传算法和二次规划相结合的算法求解。最后

通过算例验证所提方法的有效性

供能侧的收益和用能侧的消费者剩余同时得到提升。

Abstract

As the energy market shifts from a traditional vertically integrated structure to an interactive competitive structure

the distributed characteristics of community integrated energy system（CIES） have intensified

and centralized optimization methods have been difficult to reveal the interaction between multiple agents. This paper proposed a distributed coordinative operation strategy of CIES based on the Stackelberg game

which takes the integrated energy retailer as the leader

the renewable combined cooling heating and power（CCHP） operator and the load aggregator as the followers respectively

to solve the balanced strategy of all parties in pursuit of the optimal objective. Firstly

the trading pattern and mathematical model of CIES were introduced

and embedded into the Stackelberg game framework to establish one-leader multi-follower distributed coordinative optimization model. Next

the Stackelberg equilibrium of the proposed model was proven to be unique

and solved by a distributed solution based on genetic algorithm combined with quadratic programming. Finally

the effectiveness of the proposed method was verified by practical examples

the benefit of renewable CCHP operator and consumer surplus of load aggregator were improved simultaneously.

关键词

Keywords

references

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