Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review

Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review

Modern electrical power systems are characterized by a high rate of transient processes, the use of digital monitoring and control systems, and the accumulation of a large amount of technological information. The active integration of renewable energy sources contributes to reducing the inertia of p...

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Bibliographic Details
Main Authors: Mihail Senyuk, Svetlana Beryozkina, Murodbek Safaraliev, Andrey Pazderin, Ismoil Odinaev, Viktor Klassen, Alena Savosina, Firuz Kamalov
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
power system
big data
machine learning
emergency control
synchronous generator
small signal stability
Online Access:https://www.mdpi.com/1996-1073/17/4/764

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https://www.mdpi.com/1996-1073/17/4/764

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