control Lyapunov functions; power system stability control; reinforcement learning
Abstract :
[en] This paper suggests that the appropriate combination of a stability-oriented and a performance-oriented control technique is a promising way to implement advanced control schemes in power systems. The particular approach considered combines control Lyapunov functions (CLF) and reinforcement learning. The capabilities of the resulting controller are illustrated on a control problem involving a thyristor-controlled series capacitor (TCSC) device for damping oscillations in a four-machine power system.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Glavic, Mevludin ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
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 :
Combining a stability and a performance-oriented control in power systems
Publication date :
February 2005
Journal title :
IEEE Transactions on Power Systems
ISSN :
0885-8950
Publisher :
Ieee-Inst Electrical Electronics Engineers Inc, Piscataway, United States - New Jersey
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Bibliography
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G. K. Venayagamoorthy, R. G. Harley, and D. C. Wunsch, " Implementation of adaptive critic-based neurocontrollers for turbogenerators in a multimachine power system," IEEE Trans. Neural Netw., vol. 14, no. 5, pp. 1047-1064, Sep. 2003.
M. Ghandhari, G. Andersson, and I. A. Hiskens, "Control Lyapunov functions for controllable series devices," IEEE Trans. Power Syst. vol. 16, no. 4, pp. 689-594, Nov. 2001.
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