Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks

Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks

<p dir="ltr">The transient power grid stability is greatly affected by the unpredictability of inverter-based resources of today's interconnected power grids. This article introduces an efficient transient stability status prediction method based on deep temporal convolutional n...

Full description

Saved in:
Bibliographic Details
Main Author: Mohamed Massaoudi (16888710) (author)
Other Authors: Tassneem Zamzam (22047386) (author), Maymouna Ez Eddin (16904604) (author), Ali Ghrayeb (16864266) (author), Haitham Abu-Rub (16855500) (author), Shady S. Refaat (16864269) (author)
Published: 2024
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Deep learning (DL)
grid stability prediction
power system dynamics (PSD)
time series data
transient stability
Power system stability
Transient analysis
Stability criteria
Feature extraction
Convolutional neural networks
Accuracy
Long short term memory
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items