A hierarchical self-adaptive method for post-disturbance transient stability assessment of power systems using an integrated CNN-based ensemble classifier

• Main Authors: Zhang, Ruoyu, Wu, Junyong, Xu, Yan, Li, Baoqin, Shao, Meiyang
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Transient Stability Assessment (TSA); Intelligent System (IS)
• 在線閱讀: https://hdl.handle.net/10356/141903
• 機構: Nanyang Technological University

Data-driven approaches using synchronous phasor measurements are playing an important role in transient stability assessment (TSA). For post-disturbance TSA, there is not a definite conclusion about how long the response time should be. Furthermore, previous studies seldom considered the confidence...