文章摘要
张加贝,孙恒一,钱 锋,郑 强,郑懿敏,谢 俊.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[J].电力需求侧管理,2021,23(1):36-42
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
A distributed game equilibrium strategy of customer?side integrated energy system based on demand response
投稿时间:2020-09-12  修订日期:2020-11-15
DOI:DOI:10. 3969 / j. issn. 1009-1831. 2021. 01. 008
中文关键词: 用户侧综合能源系统  分布式能源站  分布式博弈均衡策略  需求响应
英文关键词: customer?side integrated energy system  distributed energy station  distributed game equilibrium strategy  demand response
基金项目:国家自然科学基金项目(U1965204)
作者单位
张加贝 昆明电力交易中心有限责任公司昆明 650200 
孙恒一 昆明电力交易中心有限责任公司昆明 650200 
钱 锋 南京南瑞继保工程技术有限公司南京 211102 
郑 强 南京南瑞继保工程技术有限公司南京 211102 
郑懿敏 河海大学 能源与电气学院南京 211100 
谢 俊 河海大学 能源与电气学院南京 211100 
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中文摘要:
      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。
英文摘要:
      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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