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A reinforcement learning based discrete supplementary control for power system transient stability enhancement
Glavic, Mevludin; Ernst, Damien; Wehenkel, Louis
2003In Proceedings of the 12th Intelligent Systems Application to Power Systems Conference (ISAP 2003)
Peer reviewed
 

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Keywords :
reinforcement learning; transient stability; discrete supplementary control; dynamic braking; optimal policy
Abstract :
[en] This paper proposes an application of a Reinforcement Learning (RL) method to the control of a dynamic brake aimed to enhance power system transient stability. The control law of the resistive brake is in the form of switching strategies. In particular, the paper focuses on the application of a model based RL method, known as prioritized sweeping, a method proven to be suitable in applications in which computation is considered to be cheap. The curse of dimensionality problem is resolved by the system state dimensionality reduction based on the One Machine Infinite Bus (OMIB) transformation. Results obtained by using a synthetic four-machine power system are given to illustrate the performances of the proposed methodology.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Glavic, Mevludin 
Ernst, Damien  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
A reinforcement learning based discrete supplementary control for power system transient stability enhancement
Publication date :
2003
Event name :
12th Intelligent Systems Application to Power Systems Conference (ISAP 2003)
Event place :
Lemnos, Greece
Event date :
August 31 - September 3, 2003
Audience :
International
Main work title :
Proceedings of the 12th Intelligent Systems Application to Power Systems Conference (ISAP 2003)
Peer reviewed :
Peer reviewed
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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since 27 May 2009

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