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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 周学志 郭丁彰 徐玉杰 陈海生

储能科学与技术2024,Vol.13Issue(6):1900-1910,11.
储能科学与技术2024,Vol.13Issue(6):1900-1910,11.DOI:10.19799/j.cnki.2095-4239.2023.0962

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

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

聂亚惠 1周学志 2郭丁彰 3徐玉杰 3陈海生2

作者信息

  • 1. 江苏大学流体机械工程技术研究中心,江苏 镇江 212013||中国科学院工程热物理研究所,北京 100190
  • 2. 中国科学院工程热物理研究所,北京 100190||中国科学院大学,北京 100049||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
  • 3. 中国科学院工程热物理研究所,北京 100190||中国科学院大学,北京 100049
  • 折叠

摘要

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%.

关键词

物理储能/重力储能/铁轨重力储能/风电场/耦合研究

Key words

physical energy storage/gravity energy storage/rail gravity energy storage/wind farm/coupling study

分类

能源科技

引用本文复制引用

聂亚惠,周学志,郭丁彰,徐玉杰,陈海生..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[J].储能科学与技术,2024,13(6):1900-1910,11.

基金项目

国家自然科学基金(52206031),北京市自然科学基金(3232041). (52206031)

储能科学与技术

OA北大核心CSTPCD

2095-4239

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