Article (Scientific journals)
Comparison of centralized, distributed and hierarchical model predictive control schemes for electromechanical oscillations damping in large-scale power systems
Wang, Da; Glavic, Mevludin; Wehenkel, Louis
2014In International Journal of Electrical Power and Energy Systems, 58, p. 32-41
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Keywords :
Model predictive control; Smart Grids; Wide area control
Abstract :
[en] The paper investigates the feasibility of applying Model Predictive Control (MPC) as a viable strategy to damp wide-area electromechanical oscillations in large-scale power systems. First a fully centralized MPC scheme is considered, and its performances are evaluated first in ideal conditions and then by considering state estimation errors and communication delays. This scheme is further extended into a distributed scheme with the aim of making it more viable for very large-scale or multi-area systems. Finally, a robust hierarchical multi-area MPC scheme is proposed, introducing a second layer of MPC based controllers at the level of individual power plants and transmission lines. Simulations are carried out using a 70-bus test system. The results reveal all three MPC schemes as viable solutions to supplement existing controllers in order to improve the system performance in terms of damping. The hierarchical scheme is the one combining the best performances in nominal conditions and the best robustness with respect to partial component failures and various modeling and measurement errors.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Wang, Da ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Glavic, Mevludin ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Comparison of centralized, distributed and hierarchical model predictive control schemes for electromechanical oscillations damping in large-scale power systems
Publication date :
June 2014
Journal title :
International Journal of Electrical Power and Energy Systems
ISSN :
0142-0615
eISSN :
1879-3517
Publisher :
Elsevier Science, Oxford, United Kingdom
Volume :
58
Pages :
32-41
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 06 February 2014

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