Methodology for Power Systems’ Emergency Control Based on Deep Learning and Synchronized Measurements

Methodology for Power Systems’ Emergency Control Based on Deep Learning and Synchronized Measurements

Modern electrical power systems place special demands on the speed and accuracy of transient and steady-state process control. The introduction of renewable energy sources has significantly influenced the amount of inertia and uncertainty of transient processes occurring in energy systems. These cha...

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Bibliographic Details
Main Authors: Mihail Senyuk, Murodbek Safaraliev, Andrey Pazderin, Olga Pichugova, Inga Zicmane, Svetlana Beryozkina
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Mathematics
Subjects:
big data
emergency control
machine learning
phasor measurement units
power system
small-signal stability
Online Access:https://www.mdpi.com/2227-7390/11/22/4667

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https://www.mdpi.com/2227-7390/11/22/4667

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