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...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 36; H. 4; S. 3786 - 3789
Hauptverfasser:	Su, Tong, Liu, Youbo, Zhao, Junbo, Liu, Junyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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