Real-time assessment of fault-induced delayed voltage recovery : a probabilistic self-adaptive data-driven method

• المؤلفون الرئيسيون: Zhang, Yuchen, Xu, Yan, Dong, Zhao Yang, Zhang, Pei
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Data-analytics; Ensemble Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/141191

Fault-induced delayed voltage recovery (FIDVR) events have become a critical threat to modern power systems with high-level inverter-interfaced renewable power generation. Aiming at the real-time assessment on FIDVR, this paper proposes a data-driven method using real-time bus voltage trajectory mea...