A distributed game equilibrium strategy of customer?side integrated energy system based on demand response

张加贝; 孙恒一; 钱 锋; 郑 强; 郑懿敏; 谢 俊

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A distributed game equilibrium strategy of customer?side integrated energy system based on demand response

更新时间：2026-03-05

- A distributed game equilibrium strategy of customer?side integrated energy system based on demand response
- Vol. 23, Issue 1, (2021)
- 作者机构：
  
  1. 昆明电力交易中心有限责任公司,昆明,650200
  2. 南京南瑞继保工程技术有限公司,南京,211102
  3. 河海大学能源与电气学院,南京,211100
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2021
- 稿件说明：
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张加贝, 孙恒一, 钱锋, et al. A distributed game equilibrium strategy of customer?side integrated energy system based on demand response[J]. 2021, 23(1).
DOI：

张加贝, 孙恒一, 钱锋, et al. A distributed game equilibrium strategy of customer?side integrated energy system based on demand response[J]. 2021, 23(1). DOI：

摘要

用户侧综合能源系统是未来能源消费方式的重要发展方向，实现用户侧综合能源系统的运行优化可以提高其经济效益和环境效益。为此，建立了由多个分布式能源站和多个能源用户组成的用户侧综合能源系统能源交易模型，提出了基于需求响应的用户侧综合能源系统分布式博弈均衡策略。分布式能源站最大化各自收益，能源用户则以各自效用最大化为目标，首先，通过对偶分解将初始问题分解为多个子系统的需求响应优化问题，然后，对各个子系统的需求响应优化问题进行分布式求解。该方法的主要优点是，能源交易实现分布式博弈均衡，各方不需要中央控制器或者任何第三方，同时各市场成员信息隐私得到了保障。最后，通过算例验证了所提用户侧综合能源系统分布式博弈均衡策略的有效性。

Abstract

Customer-side integrated energy system (C-IES) is an important direction of energy consumption in the future. The optimization of C-IES operation can improve the economic and environmental benefits. For this purpose

an energy transaction model for C- IES composed of multiple distributed energy stations (DES)and energy users (EU) is established

and distributed game equilibrium strategy for C- IES based on demand response is proposed.DESs aim to maximize their respective benefits

while EUs aim to maximize their respective utility. Firstly

the initial problem is decomposed into the demand response optimization problem of multiple subsystems through dual decomposition. Then distributed solution is implemented for the demand response optimization problem of each subsystem. The main advantage of this method is that the two sides of the energy transaction do not need a central controller or any third party

and the privacy of DESs and EUs is guaranteed.Finally

the effectiveness of the proposed distributed game equilibrium strategy is verified by a numerical example.

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