Reinforcement learning applied to power system oscillations damping

Name: Reinforcement learning applied to power system oscillations damping
Creator: Ernst, Damien
Keywords: power systems, reinforcement learning, Ingénierie électrique & électronique, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, electical-mechanical oscillations, 02 engineering and technology, 7. Clean energy, Electrical & electronics engineering, Engineering, computing & technology

Ernst, Damien

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Conference object . 2001

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Article . 2002 . Peer-reviewed

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Article . 2003 . Peer-reviewed

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Reinforcement learning applied to power system oscillations damping

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 13 Nov 2002 Belgium Publisher:IEEEJournal:Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)

Authors: Ernst, Damien;

doi: 10.1109/.2001.980282 , 10.1109/cdc.2001.980282

handle: 2268/13142

Reinforcement learning applied to power system oscillations damping

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Abstract

This paper investigates the use of reinforcement learning in electrical power system oscillations damping. The approach consists in using temporal-difference learning algorithms to control a FACTS (Flexible Alternative Current Transmission System) so as to damp power system oscillations. The proposed approach is based only on local measurements and frees itself from the knowledge of power system dynamics. An illustration is carried out on a one machine infinite bus system.

Country

Belgium

Related Organizations

University of Liège
Belgium

Keywords

power systems, reinforcement learning, Ingénierie électrique & électronique, electical-mechanical oscillations, Electrical & electronics engineering, Engineering, computing & technology, Ingénierie, informatique & technologie

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