Deep Learning-Based Dynamic State Estimation for Frequency Stability Monitoring in Power Systems with High Penetration of Renewable Generation

Deep Learning-Based Dynamic State Estimation for Frequency Stability Monitoring in Power Systems with High Penetration of Renewable Generation

The unprecedented transformation of contemporary power systems, mainly evidenced by the high penetration of renewable energy generation and the shift from passive to active, bi-directional smart grids, has put an extraordinary burden on power system operation and control. The uncertainties created b...

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Bibliographic Details
Main Authors: Said Ćosić, István Vokony
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Engineering Proceedings
Subjects:
dynamic state estimation
renewable energy
artificial neural network
deep learning
frequency disturbance detection
Online Access:https://www.mdpi.com/2673-4591/41/1/16

Internet

https://www.mdpi.com/2673-4591/41/1/16

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