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

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

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...

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Bibliographic Details
Main Authors: Ren, Chao, Xu, Yan, Zhao, Junhua, Zhang, Rui, Wan, Tong
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Deep Residual Convolutional Neural Network
Incremental Broad Learning
Online Access:https://hdl.handle.net/10356/165110

Internet

https://hdl.handle.net/10356/165110

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