考虑可再生能源发电厂电力交易满意度的共享储能系统商业运营模式

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Hejun Yang , Zhaochen Yang , Mengchao Gong , Ke Tang , Yuming Shen , Dabo Zhang
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引用次数: 0

摘要

共享经济模式可以促进资源的优化配置和利用,其与储能、可再生能源的结合可以提高资源利用率,降低调度偏差。为了降低可再生能源调度偏差,提高共享储能的收益,本文提出了一种考虑可再生能源电厂电力交易满意度的共享储能商业运营模式。首先,为促进可再生能源电站参与商业模式,提出了电力交易满足度模式,并建立了基于电力交易满足度的多边竞价交易模式。其次,为了进一步补偿调度偏差,建立了通过联合多个共享储能电站和可再生能源电站集群的偏差消除模型,并分析了租用多个共享储能电站的优势。第三,为了量化商业模式下各参与方的利润,建立了共享利润和结算成本模型。最后,通过案例分析验证了上述模型的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Commercial operation mode of shared energy storage system considering power transaction satisfaction of renewable energy power plants
The sharing economy mode can promote an optimal allocation and utilization of resources, and its integration with the energy storage and renewable energy can improve their utilization rate and reduce the dispatching deviation. In order to reduce the renewable energy dispatching deviation and improve profits of shared energy storage, this paper proposes a shared energy storage commercial operation mode considering the power transaction satisfaction of renewable energy plants. Firstly, in order to promote the participation of renewable energy plants in the commercial mode, a power transaction satisfaction mode is proposed, and a multilateral bidding transaction mode based on power transaction satisfaction is established. Secondly, in order to further compensate the dispatching deviation, a deviation elimination model through jointing multiple shared energy storages and renewable energy plant clusters is established, and the advantages of renting multiple shared energy storages are analyzed. Thirdly, in order to quantify the profits of each participant in the commercial mode, a shared profit and settlement cost model is developed. Finally, the correctness of the above proposed model is verified by analyzing the case study.
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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