DocumentCode
2181815
Title
Reinforcement learning applied to power system oscillations damping
Author
Ernst, D.
Author_Institution
Inst. Montefiore, Liege Univ., Belgium
Volume
4
fYear
2001
fDate
2001
Firstpage
3043
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
Keywords
flexible AC transmission systems; learning (artificial intelligence); power system control; power system dynamic stability; flexible alternative current transmission system; local measurements; one machine infinite bus system; power system dynamics; power system oscillations damping; reinforcement learning; temporal-difference learning algorithms; Control systems; Damping; Equations; Learning; Nonlinear systems; Optimal control; Power system control; Power system dynamics; Power system measurements; Power systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-7061-9
Type
conf
DOI
10.1109/.2001.980282
Filename
980282
Link To Document