Transient State Estimation for Power System Based on Deep Transfer Learning

JIAO Hao; ZHAO Jiawei; WEI Lei; ZHU Weiping; MA Zhoujun; ZANG Haixiang

doi:10.12204/j.issn.1000-7229.2025.01.009

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Transient State Estimation for Power System Based on Deep Transfer Learning

Smart Grid | 更新时间：2025-08-06

- Transient State Estimation for Power System Based on Deep Transfer Learning
- “In the field of power systems, experts have proposed a transient state estimation method based on deep transfer learning, which effectively improves the estimation accuracy and computational efficiency during faults.”
- Electric Power Construction Vol. 46, Issue 1, Pages: 97-106(2025)
- 作者机构：
  
  1.国网江苏省电力有限公司电力科学研究院，南京市 211103
  2.河海大学电气与动力工程学院，南京市 211100
  3.国网江苏省电力有限公司，南京市 210024
- 作者简介：
- 基金信息：
  
  State Grid Jiangsu Electric Power Co., Ltd. Research Program(J2023121)
- DOI：10.12204/j.issn.1000-7229.2025.01.009
  CLC： TM73
- Received：24 November 2023，
  
  Revised：2024-04-10，
  
  Published：01 January 2025
- 稿件说明：
移动端阅览
焦昊,赵佳伟,韦磊等.基于深度迁移学习的电力系统暂态状态估计[J].电力建设,2025,46(01):97-106.

JIAO Hao,ZHAO Jiawei,WEI Lei,et al.Transient State Estimation for Power System Based on Deep Transfer Learning[J].Electric Power Construction,2025,46(01):97-106.
焦昊,赵佳伟,韦磊等.基于深度迁移学习的电力系统暂态状态估计[J].电力建设,2025,46(01):97-106. DOI： 10.12204/j.issn.1000-7229.2025.01.009.

JIAO Hao,ZHAO Jiawei,WEI Lei,et al.Transient State Estimation for Power System Based on Deep Transfer Learning[J].Electric Power Construction,2025,46(01):97-106. DOI： 10.12204/j.issn.1000-7229.2025.01.009.

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Transient State Estimation for Power System Based on Deep Transfer Learning

DOI：10.12204/j.issn.1000-7229.2025.01.009