Research on the participation model of energy storage in electricity spot markets considering energy constraints and cost characteristics

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-05-01 DOI:10.1063/5.0194872

Mingyuan Chen, Le Qi, Peizheng Xuan, Yanjie Liang, Youhui Yang, Qi Zou, Lanfen Cheng, Chaoyi Peng, Huayuan Li

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Abstract

In the context of power systems with a high proportion of renewable energy, energy storage plays a significant role in facilitating the consumption of renewable energy and ensuring the operational safety of power systems. However, the current power spot market's predominant power bidding model does not fully consider the physical and cost-operational characteristics of energy storage, which is not conducive to further incentivizing investment and construction of energy storage, and may indirectly affect the flexibility of energy storage in peak shaving and valley filling. This paper summarizes the key issues that need to be addressed for energy storage to participate in the spot market from two aspects: the power bidding model does not meet the requirements of the physical and cost-operational characteristics of energy storage, and the real-time market under this model cannot achieve optimal allocation of energy storage. Considering the energy constraints and cost characteristics of energy storage, a charge and discharge bidding model is proposed, which is based on the stored energy value of energy storage and is in line with the physical and cost-operational characteristics and real-time optimization needs of energy storage. Subsequently, a market clearing model for energy storage participation in the spot market under the state of energy bidding method is constructed, and based on the IEEE 39-bus test case, a comparative analysis of the nodal electricity prices, energy storage revenue, and total system costs under the proposed market participation model and the traditional power bidding model is conducted. Simulation results show that the proposed energy storage participation model in the spot market can better utilize the value of energy storage in peak shaving and valley filling compared to the conventional power bidding model, reducing the extreme electricity prices by up to 10%, increasing single cycle revenue of energy storage by 46%, and reducing the total operating costs of the system in scenarios with significant deviations in system load in the day-ahead and real-time markets.

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考虑能源约束和成本特征的电力现货市场储能参与模式研究

在可再生能源比例较高的电力系统中，储能在促进可再生能源消纳和保障电力系统运行安全方面发挥着重要作用。然而，目前电力现货市场占主导地位的电量竞价模式并未充分考虑储能的物理特性和成本运营特性，不利于进一步激励储能的投资和建设，并可能间接影响储能在削峰填谷中的灵活性。本文从两个方面总结了储能参与现货市场需要解决的关键问题：一是电量竞价模式不符合储能物理特性和成本运营特性的要求，二是该模式下的实时市场无法实现储能的优化配置。考虑到储能的能量约束和成本特性，提出了基于储能储能值的充放电竞价模型，该模型符合储能的物理特性、成本运营特性和实时优化需求。随后，构建了能量状态竞价方法下储能参与现货市场的市场出清模型，并基于 IEEE 39-bus 测试用例，对提出的市场参与模型和传统电力竞价模型下的节点电价、储能收益和系统总成本进行了对比分析。仿真结果表明，与传统电力竞价模式相比，提出的储能参与现货市场模式能更好地发挥储能在削峰填谷中的价值，在日前市场和实时市场系统负荷出现显著偏差的情况下，极端电价最高可降低 10%，储能单周期收益可提高 46%，系统总运营成本可降低。

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

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.