Estimation of Frequency-Dependent Impedances in Power Grids by Deep LSTM Autoencoder and Random Forest

This paper proposes a deep-learning-based method for frequency-dependent grid impedance estimation. Through measurement of voltages and currents at a specific system bus, the estimate of the grid impedance was obtained by first extracting the sequences of the time-dependent features for the measured...

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Manylion Llyfryddiaeth

Prif Awduron:	Azam Bagheri, Massimo Bongiorno, Irene Y. H. Gu, Jan R. Svensson
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2021-06-01
Cyfres:	Energies
Pynciau:	frequency-dependent grid impedance LSTM autoencoder PRBS random forest regression time-series analysis unsupervised deep learning
Mynediad Ar-lein:	https://www.mdpi.com/1996-1073/14/13/3829
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!