Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction With Wind Farms

To address the uncertainties of renewable energy and loads in transient stability assessment with credible contingencies, this letter proposes a stacked denoising autoencoder (SDAE)-based probabilistic prediction method. The correlations among wind farms have been effectively considered through the...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on power systems Vol. 36; no. 4; pp. 3786 - 3789
Main Authors:	Su, Tong, Liu, Youbo, Zhao, Junbo, Liu, Junyong
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Confidence intervals Monte Carlo simulation Noise reduction Power system stability Probabilistic logic probabilistic prediction Stability analysis Stability criteria stacked denoising autoencoder (SDAE) Statistical analysis Transient analysis Transient stability Wind farms Wind power Wind power generation wind uncertainty
ISSN:	0885-8950, 1558-0679
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!