Identification method of dominant instability modes based on transient curve diversity and global feature sample enhancement

ZHOU Rui; YU Juan; ZHU Shengyi; YANG Zhifang; XIANG Hongji; YE Xi; SUN Xinwei

doi:10.16081/j.epae.202512002

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Identification method of dominant instability modes based on transient curve diversity and global feature sample enhancement

ANALYSIS AND RESEARCH | 更新时间：2026-02-11

- Identification method of dominant instability modes based on transient curve diversity and global feature sample enhancement
- “Experts propose a DIM sample augmentation method based on CWGAN to solve the problem of sample imbalance in data-driven transient dominant instability pattern recognition, improve sample diversity and quality, and ensure recognition accuracy.”
- Electric Power Automation Equipment Vol. 46, Issue 3, Pages: 205-212(2026)
- 作者机构：
  
  1.重庆大学输变电装备技术全国重点实验室，重庆 400044
  2.国网重庆市电力公司电力科学研究院，重庆 401123
  3.国网四川省电力公司，四川成都 610041
  4.国网四川省电力公司电力科学研究院，四川成都 610041
- 作者简介：
- 基金信息：
  
  the Science and Technology Project of State Grid Corporation of China(5108⁃202218280A⁃2⁃263⁃XG)
- DOI：10.16081/j.epae.202512002
  CLC： TM73
- Received：24 September 2024，
  
  Revised：2025-06-24，
  
  Online First：17 December 2025，
  
  Published：10 March 2026
- 稿件说明：
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周芮,余娟,朱晟毅等.基于考虑暂态曲线多样性和全局特征样本增强的主导失稳模式识别方法[J].电力自动化设备,2026,46(03):205-212.

ZHOU Rui,YU Juan,ZHU Shengyi,et al.Identification method of dominant instability modes based on transient curve diversity and global feature sample enhancement[J].Electric Power Automation Equipment,2026,46(03):205-212.
周芮,余娟,朱晟毅等.基于考虑暂态曲线多样性和全局特征样本增强的主导失稳模式识别方法[J].电力自动化设备,2026,46(03):205-212. DOI： 10.16081/j.epae.202512002.

ZHOU Rui,YU Juan,ZHU Shengyi,et al.Identification method of dominant instability modes based on transient curve diversity and global feature sample enhancement[J].Electric Power Automation Equipment,2026,46(03):205-212. DOI： 10.16081/j.epae.202512002.

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Identification method of dominant instability modes based on transient curve diversity and global feature sample enhancement

DOI：10.16081/j.epae.202512002