Cooperative game robust optimization control for wind-solar-shared energy storage integrated system based on dual-settlement mode and multiple uncertainties

IF 10.1 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2024-11-02 DOI:10.1016/j.apenergy.2024.124799

Xiaojuan Han , Zuran Wang , Haoyu Li , Muran Liu

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引用次数: 0

Abstract

Aiming at the problems of renewable energy output uncertainties and single scenario operation mode of energy storage systems, a cooperative game robust optimization control method for wind-solar-shared energy storage system based on dual-settlement mode of power market is proposed in this paper. A cooperative game-based energy management framework under dual settlement mode of electricity market is constructed, the profit relationship between shared energy storage under multiple application scenarios and renewable energy are extracted and the corresponding profit models are established. Considering the multiple uncertainties of renewable energy and electricity prices, combined with robust optimization theory, a multi-level two-stage robust optimization model is established to make optimal electricity trading decisions for renewable energy and shared energy storage. Additionally, the cooperative game robust optimization model is solved by i-C&CG algorithm. The effectiveness of proposed control method is verified through actual operating data of a certain power grid in China. The simulation results show that the cooperative game robust optimization model achieves the optimal operation of the wind-solar-shared energy storage system considering multiple uncertainties, which can improve the ability of the system to cope with the uncertainty risk and the reliability of the system.

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基于双结算模式和多不确定性的风光互补储能集成系统的协同博弈鲁棒优化控制

针对可再生能源输出不确定性和储能系统单一场景运行模式等问题，本文提出了一种基于电力市场双结算模式的风光互补共享储能系统合作博弈鲁棒优化控制方法。构建了电力市场双结算模式下基于合作博弈的能源管理框架，提取了多应用场景下共享储能与可再生能源之间的收益关系，并建立了相应的收益模型。考虑到可再生能源和电价的多重不确定性，结合鲁棒优化理论，建立了多层次两阶段鲁棒优化模型，为可再生能源和共享储能做出最优电力交易决策。此外，还利用 i-C&CG 算法求解了合作博弈鲁棒优化模型。通过中国某电网的实际运行数据验证了所提控制方法的有效性。仿真结果表明，合作博弈鲁棒优化模型实现了风光互补共享储能系统在考虑多种不确定性因素下的最优运行，提高了系统应对不确定性风险的能力和系统的可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.