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基于多主体主从博弈的区域综合能源系统低碳经济优化调度
引用本文:王 瑞,程 杉,汪业乔,代 江,左先旺.基于多主体主从博弈的区域综合能源系统低碳经济优化调度[J].电力系统保护与控制,2022,50(5):12-21.
作者姓名:王 瑞  程 杉  汪业乔  代 江  左先旺
作者单位:智慧能源技术湖北省工程研究中心(三峡大学),湖北宜昌 443002,贵州电网有限责任公司,贵州贵阳 550002
基金项目:国家自然科学基金;三峡大学硕士学位论文培优基金
摘    要:为解决环境污染以及区域综合能源系统中多市场主体利益冲突的问题,提出一种考虑奖惩阶梯型碳交易机制和双重激励综合需求响应策略的区域综合能源系统多主体博弈协同优化方法。首先,为充分考虑系统的低碳性,在博弈模型中引入奖惩阶梯型碳交易机制限制各主体碳排放量,并在用户侧提出了基于价格和碳补偿双重激励的综合需求响应策略。其次,考虑源-荷-储三方主动性和决策能力,以能源管理商为领导者,供能运营商、储能运营商和用户为跟随者,建立了基于碳交易和博弈协同优化的多主体低碳交互机制,并构建了各主体的交易决策模型。最后,采用结合Gurobi工具箱的自适应差分进化算法对所提模型进行求解。仿真结果验证了所提模型和方法的有效性,即各主体在低碳框架下可以合理调整自身策略,并兼顾系统经济、环境效益。

关 键 词:区域综合能源系统  低碳交互  多主体博弈  碳交易  综合需求响应
收稿时间:2021/7/12 0:00:00
修稿时间:2021/9/15 0:00:00

Low-carbon and economic optimization of a regional integrated energy system based on a master-slave game with multiple stakeholders
WANG Rui,CHENG Shan,WANG Yeqiao,DAI Jiang,ZUO Xianwang.Low-carbon and economic optimization of a regional integrated energy system based on a master-slave game with multiple stakeholders[J].Power System Protection and Control,2022,50(5):12-21.
Authors:WANG Rui  CHENG Shan  WANG Yeqiao  DAI Jiang  ZUO Xianwang
Affiliation:1. Engineering Center for Intelligent Energy Technology (China Three Gorges University), Yichang 443002, China; 2. Guizhou Power Grid Co., Ltd., Guiyang 550002, China
Abstract:To solve the problems of environmental pollution and the conflict of interests of multi-market players in a regional integrated energy system, a multi-agent game collaborative optimization method for a regional integrated energy system considering a reward and punishment ladder carbon trading mechanism and dual incentive integrated demand response is proposed. First, to fully consider the low-carbon nature of the system, a reward and punishment ladder carbon trading mechanism is introduced to limit the carbon emissions of each stakeholder. Then an integrated demand response strategy based on price and carbon compensation is proposed on the user side. Secondly, considering the initiative and decision-making ability of the source, load and storage parties, a multi-agent low-carbon interaction mechanism based on carbon trading and game collaborative optimization is proposed, and the decision-making model of each stakeholder is constructed. Finally, an adaptive differential evolution algorithm combined with the Gurobi toolbox is used to solve the proposed model. The simulation results verify the effectiveness of the proposed model. In a low-carbon framework, each stakeholder can reasonably adjust its own strategies and take into account the economic and environmental benefits of the system. This work is supported by the National Natural Science Foundation of China (No. 51607105).
Keywords:regional integrated energy system  low-carbon interaction  multi-agent game  carbon trading  integrated demand response
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