储能科学与技术 ›› 2024, Vol. 13 ›› Issue (6): 1900-1910.doi: 10.19799/j.cnki.2095-4239.2023.0962

• 储能系统与工程 • 上一篇    下一篇

铁轨重力储能系统关键影响因素及其与风电场的耦合研究

聂亚惠1,2(), 周学志2,3,4, 郭丁彰2,3, 徐玉杰2,3, 陈海生2,3,4()   

  1. 1.江苏大学流体机械工程技术研究中心，江苏 镇江 212013
    2.中国科学院工程热物理研究所，北京 100190
    3.中国科学院大学，北京 100049
    4.毕节高新技术产业开发区国家能源大规模 物理储能技术研发中心，贵州 毕节 551712
  • 收稿日期:2023-12-29 修回日期:2024-01-16 出版日期:2024-06-28 发布日期:2024-06-26
  • 通讯作者: 陈海生 E-mail:nieyahui@iet.cn;chen_hs@iet.cn
  • 作者简介:聂亚惠（1994—），女，硕士研究生，研究方向为可再生能源发电与铁轨重力储能耦合系统，E-mail：nieyahui@iet.cn；
  • 基金资助:
    国家自然科学基金(52206031);北京市自然科学基金(3232041)

Study on key influencing factors of the rail gravity energy storage system and its coupling with wind farms

Yahui NIE1,2(), Xuezhi ZHOU2,3,4, Dingzhang GUO2,3, Yujie XU2,3, Haisheng CHEN2,3,4()   

  1. 1.Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, Jiangsu, China
    2.Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
    3.University of Chinese Academy of Sciences, Beijing 100049, China
    4.National Energy Large Scale Physical Energy Storage Technologies R&D Center of Bijie High-tech Industrial Development Zone, Bijie 551712, Guizhou, China
  • Received:2023-12-29 Revised:2024-01-16 Online:2024-06-28 Published:2024-06-26
  • Contact: Haisheng CHEN E-mail:nieyahui@iet.cn;chen_hs@iet.cn

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摘要：

大规模储能技术对于可再生能源的发展及电网稳定运行具有重要意义。铁轨重力储能(rail gravity energy storage，RGES)技术可灵活调度载重机车进行储/释能，有效解决风电场大幅度功率波动问题，在长时大规模储能应用技术中前景广阔。本文开展了RGES系统关键影响因素及其与风电场耦合调度的研究，基于MATLAB软件搭建了RGES系统模型及其与风电场的耦合系统模型，研究了储/释能过程中关键参数对RGES系统的影响规律，并且以减少风电场的弃风率为目的，选取了四个季节的典型日，详细研究了耦合系统的运行特性及RGES系统的配置方案。结果表明，储/释能功率随载重质量增加而增大，随匀速阶段的上/下坡速度增加而增大；储/释能效率及系统效率随载重质量的变化极小，随上/下坡速度增大而减小；RGES系统与风电场耦合运行时，可根据功率需求灵活配置各时段的载重车辆数及上/下坡速度进行储/释能，并可在四个季节典型日的用电高峰期分别实现22 MW、16 MW、27 MW、29 MW的恒定功率并网，且风电利用率平均增长17.1%。

关键词: 物理储能, 重力储能, 铁轨重力储能, 风电场, 耦合研究

Abstract:

Large-scale energy storage technology plays a crucial role in the development of renewable energy and the stability of power grids. Rail gravity energy storage (RGES) technology enables flexible load locomotive dispatch for energy storage and release. It effectively addresses the issue of significant power fluctuations in wind farms and presents significant potential for long-term, large-scale energy storage applications. This paper explores the key influencing factors of the RGES system and its integrated scheduling with a wind farm. We constructed models of the RGES system and its coupled system with the wind farm using MATLAB software. The study examines how key parameters affect the RGES system during the energy storage and release process. To minimize the wind power curtailment rate, we analyzed the operational characteristics and system configurations of the coupled system during typical days across all seasons in detail. The results indicate that the power for energy storage and release increases with higher load mass and faster upward/downhill speeds during the constant speed phase. The efficiency of energy storage and release, as well as overall system efficiency, show minimal variation with load mass but decrease with increasing speeds. When coupled with a wind farm, the RGES system can adapt the number of trucks and their speeds for optimal energy storage and release, achieving stable power outputs of 22 MW, 16 MW, 27 MW, and 29 MW during peak consumption on typical days in each season, enhancing the wind power utilization rate by an average of 17.1%.

Key words: physical energy storage, gravity energy storage, rail gravity energy storage, wind farm, coupling study

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