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Optimization Configuration Method of Inertia and Primary Frequency Regulation Coefficients in Grid-Forming Photovoltaic Energy Storage System Considering Capacity Limitations

  • Zhenxing Shao
  • , Jingrui Liu
  • , Wenbo Li
  • , Jiapeng Li
  • , Yonghui Liu
  • , Yujun Li
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

As the proportion of renewable energy in the power system continues to increase, the inertia level of the system gradually decreases. Utilizing energy stor-age to provide inertia and primary frequency support for photovoltaic generation has become an effective means to address frequency stability issues. Parameters for frequency support that are too small cannot fully utilize the frequency modu-lation capability of optical energy storage systems, while parameters that are too large will lead to active power output limits of inverters during transient processes. In response to this, the paper proposes a method for optimizing the inertia and primary frequency modulation parameters of optical energy storage systems, tak-ing capacity limitations into account. First, based on the control equations of the grid-type optical energy storage system, the analytical relationship between fre-quency deviation, frequency deadband, primary frequency modulation coefficient, and inverter output is established to derive the feasible boundaries of the primary frequency modulation coefficient to ensure that the inverter and energy storage output do not exceed limitations. Secondly, with the constraints of optical energy storage system capacity limitations and the dynamic equations participating in transient frequency support, an optimization model for maximizing the frequency nadir of the optical energy storage system is established to determine the optimal virtual inertia coefficient. Finally, simulation analysis verifies the effectiveness of the proposed frequency support parameter optimization method.

源语言英语
主期刊名The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems
编辑Aimin Sha, Jishen Peng, Cancan Rong, Li Zhang, XIaoheng Yan, Zheming Jin
出版商Springer Science and Business Media Deutschland GmbH
497-508
页数12
ISBN(印刷版)9789819618552
DOI
出版状态已出版 - 2025
活动International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024 - Xi'an, 中国
期限: 18 10月 202420 10月 2024

丛书

姓名Lecture Notes in Electrical Engineering
1330 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024
国家/地区中国
Xi'an
时期18/10/2420/10/24

联合国可持续发展目标

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  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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