基于考虑不确定性的非合作博弈模型的多微网能源交易低碳驱动价格方法

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS Sustainable Energy Grids & Networks Pub Date : 2024-11-14 DOI:10.1016/j.segan.2024.101570
Yuqin Yi , Jiazhu Xu , Weiming Zhang
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引用次数: 0

摘要

在提高电网能源利用率的要求和双碳背景下,平衡微电网(MG)在市场竞争中的经济效益和环境效益具有重要的研究意义。为了给利益相关者之间的能源共享提供合理的价格信号,我们提出了一种基于供需信息的低碳驱动的新型能源共享定价机制。该机制可以激励 MG 积极参与能源共享的非合作博弈。具体来说,一方面,虚拟能源共享中心(VESC)通过分析和整合 MG 的供需信息来生成价格信号,然后发布给每个 MG。另一方面,各 MG 接收最新的价格信号,并据此优化自身的运行。针对每个 MG,建立了一个两阶段鲁棒优化(TSRO)模型,该模型考虑了源负荷的不确定性,并以 MG 的经济性和环境友好性为目标。对于多微网系统,通过引入低碳指标,提出了低碳驱动的能源共享机制。最后,采用交替优化循环 CCG 算法(AOP-Looped CCG)对模型进行了有效求解。数值实例验证了所提机制促进了能源互补,提高了综合效益。
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A low-carbon driven price approach for energy transactions of multi-microgrids based on non-cooperative game model considering uncertainties
Under the requirement of improving energy utilization of the grid and the dual-carbon background, balancing the economic and environmental benefits of microgrids (MG) in the competition market has great research significance. To provide reasonable price signals for energy sharing among stakeholders, we propose a new low-carbon driven energy-sharing pricing mechanism based on supply and demand information. The mechanism can incentivize MG to actively participate in non-cooperative games for energy sharing. Specifically, on the one hand, the virtual energy sharing centre (VESC) generates price signals by analysing and integrating the supply-demand information of MG, and then releases them to each MG. On the other hand, each MG receives the latest price signals and accordingly optimizes its own operation. For each MG, a two-stage robust optimization (TSRO) model that considers the uncertainties of the source-load and aims at the economy and environmental friendliness of the MG is established. For the multi-microgrid system, a low-carbon driven energy sharing mechanism is proposed by introducing a low-carbon indicator. Finally, the alternating optimization procedure-looped CCG algorithm (AOP-Looped CCG) is adopted to solve the model effectively. The numerical examples validate that the energy complementarity is promoted and comprehensive benefits are enhanced of the proposed mechanism.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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