A missing-data tolerant method for data-driven short-term voltage stability assessment of power systems

• المؤلفون الرئيسيون: Zhang, Yuchen, Xu, Yan, Zhang, Rui, Dong, Zhao Yang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Electrical and electronic engineering; Ensemble Learning; Feature Selection
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/151496

With the widespread deployment of phasor measurement units (PMU), synchronized measurements of the power system has opened opportunities for data-driven short-term voltage stability (STVS) assessment. The existing intelligent system-based methods for data-driven stability assessment assume full and...