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基 于 二 阶 罚 函 数 自 适 应 变 阶 拟 合 的 全 局 电 网 惯 量 时 空 感 知

  • Jiebei Zhu
  • , Liyuan Guo
  • , Wei Wang
  • , Binbin Chen
  • , Lujie Yu
  • , Siyang Xu
  • , Hongjie Jia

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

As the traditional synchronous generators are gradually replaced by renewable energy generators, the inertia of the power system is constantly reduced, and the temporal-spatio inertia evaluation is more and more important to ensure the safe and stable operation of the system. Firstly, the temporal-spatio inertia perception method of global power grid based on adaptive variable-order fitting of second-order penalty function is proposed. Secondly, the rate of change of frequency and power change of each spatial node of the system are accurately estimated based on the phasor measurement unit (PMU). The second-order penalty function is adopted for the preprocessing of PMU monitoring data and the adaptive variable-order fitting is applied to the processing process of each segment of the fitting data. Finally, through the combination of the two methods, the temporal-spatio perception of the generalized node inertia of the power system can be realized. The accuracy and applicability of the proposed method for the temporal-spatio inertia evaluation under the condition of large or small disturbances are verified through the simulation case analysis.

投稿的翻译标题Temporal-Spatio Inertia Perception of Global Power Grid Based on Adaptive Variable-order Fitting of Second-order Penalty Function
源语言繁体中文
页(从-至)69-79
页数11
期刊Dianli Xitong Zidonghua/Automation of Electric Power Systems
48
19
DOI
出版状态已出版 - 10 10月 2024
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  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

关键词

  • adaptive variable-order fitting
  • data preprocessing
  • inertia
  • phasor measurement unit (PMU)
  • temporal-spatio perception

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