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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1445092
This article is part of the Research Topic Optimal Scheduling of Demand Response Resources In Energy Markets For High Trading Revenue and Low Carbon Emissions View all 13 articles

Modeling and Scheduling of Utility-scale Energy Storage Toward High-share Renewable Coordination

Provisionally accepted
Ran Ding Ran Ding 1,2Xuanyuan Wang Xuanyuan Wang 1Wei Qiu Wei Qiu 1Yiming Yao Yiming Yao 1Haixiang Xu Haixiang Xu 1Yan Geng Yan Geng 1Zhihuan Zhuo Zhihuan Zhuo 3Jianxiao Wang Jianxiao Wang 4*
  • 1 Other, Beijing, China
  • 2 Tsinghua University, Beijing, Beijing, China
  • 3 North China Electric Power University, Beijing, China
  • 4 Peking University, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    As the integration of high-proportion renewable energy into the grid increases, the intermittency and uncertainty of renewable energy output significantly affect the safe and stable operation of the power system. Combining utility-scale energy storage technology with renewable coordination is one of the methods to address these issues. Compressed air energy storage (CAES) has garnered extensive attention due to its large capacity, long operational life, and clean, low-carbon advantages. Given the poor compressibility of air and its high critical point, using carbon dioxide as the working fluid in utility-scale energy storage systems can achieve higher energy storage density and cycle efficiency. Accordingly, this paper focuses on the study of utility-scale energy storage system modeling and scheduling methods considering carbon dioxide energy storage. It investigates Compressed Carbon Dioxide Energy Storage (CCES) systems, analyzes the operational framework of typical CCES systems, and sequentially establishes models for the energy storage process, energy release process, hot water tank operation, and gas storage tank operation. Based on this, it explores power system optimization dispatch methods considering CCES, incorporating the established models into an optimization dispatch model for power systems with high wind power penetration. Within the framework of a safe constraint unit commitment study, using the IEEE-30 nodes model, the effectiveness of the established models is validated. The case study results confirm the role of CCES in enhancing the absorption rate of renewable coordination. Moreover, under the same storage conditions, compared to, CCES offers greater charging and discharging power and higher energy storage density.

    Keywords: Utility-scale energy storage, modeling, Scheduling, renewable coordination, Compressed carbon dioxide

    Received: 06 Jun 2024; Accepted: 29 Jul 2024.

    Copyright: © 2024 Ding, Wang, Qiu, Yao, Xu, Geng, Zhuo and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jianxiao Wang, Peking University, Beijing, 100871, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.