A super-resolution perception-based incremental learning approach for power system voltage stability assessment with incomplete PMU measurements

• المؤلفون الرئيسيون: Ren, Chao, Xu, Yan, Zhao, Junhua, Zhang, Rui, Wan, Tong
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Deep Residual Convolutional Neural Network; Incremental Broad Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/165110

This paper develops a fully data-driven, missing- data tolerant method for post-fault short-term voltage stability (STVS) assessment of power systems against the incomplete PMU measurements. The super-resolution perception (SRP), based on a deep residual learning convolutional neural network, is emp...