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Data-driven Transient Stability Assessment Using Sparse PMU Sampling and Online Self-check Function

Guozheng Wang Jianbo Guo Shicong Ma Xi Zhang Qinglai Guo Shixiong Fan Haotian Xu

中国电机工程学会电力与能源系统学报(英文)2023，Vol.9Issue(3)：P.910-920,11.
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中国电机工程学会电力与能源系统学报(英文)2023，Vol.9Issue(3)：P.910-920,11.DOI:10.17775/CSEEJPES.2021.05890

Data-driven Transient Stability Assessment Using Sparse PMU Sampling and Online Self-check Function

Guozheng Wang 1Jianbo Guo 2Shicong Ma 2Xi Zhang 3Qinglai Guo 4Shixiong Fan 2Haotian Xu2

作者信息

  • 1. Department of Electrical Engineering,Tsinghua University,Beijing 100084,China Department of Power System,China Electric Power Research Institute,Beijing 100192,China
  • 2. Department of Power System,China Electric Power Research Institute,Beijing 100192,China
  • 3. School of Automation,Beijing Institute of Technology,Beijing 100192,China
  • 4. Department of Electrical Engineering,Tsinghua University,Beijing 100084,China
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摘要

关键词

Artificial intelligence/phasor measurement units/recurrent neural networks/transient stability assessment

分类

信息技术与安全科学

引用本文复制引用

Guozheng Wang,Jianbo Guo,Shicong Ma,Xi Zhang,Qinglai Guo,Shixiong Fan,Haotian Xu..Data-driven Transient Stability Assessment Using Sparse PMU Sampling and Online Self-check Function[J].中国电机工程学会电力与能源系统学报(英文),2023,9(3):P.910-920,11.

基金项目

supported by the National Key R&D Program of China(2018AAA0101500). （2018AAA0101500）

中国电机工程学会电力与能源系统学报(英文)

OACSCDCSTPCDEI

2096-0042

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