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
2014 • In International Journal of Electrical Power and Energy Systems, 58, p. 32-41
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
G. Rogers Power system oscillations 2000 Kluwer Academic Publishers Norwell (Massachusetts, USA)
Grebe E, Kabouris J, Barba SL, Sattinger W, Winter W. Low frequency oscillations in the interconnected system of continental Europe. In: Proc of IEEE Power and Energy Society General Meeting 2010. Minneapolis, MN; July, 2010.
C.E. Grund, J.J. Paserba, J.F. Hauer, and S. Nilsson Comparison of Prony and eigenanalysis for power system control design IEEE Trans Power Syst 8 3 1993 964 971
A.P. Sakis Meliopoulos, G.J. Cokkinides, F. Galvan, and P. Myrda Delivering accurate and timely data to all: model-based substation automation applications for advanced data availability IEEE Power Energy Mag 5 3 2007 74 86
I. Kamwa, R. Grondin, and Y. Hebert Wide-area measurement based stabilizing control of large power systems - a decentralized/hierarchical approach IEEE Trans Power Syst 16 1 2001 136 153 (Pubitemid 32297479)
J.M. Maciejowski Predictive control with constraints Harlow 2002 Prentice Hall England
S.J. Qin, and T.A. Badgwell A survey of industrial model predictive control technology Control Eng Practice 11 2003 733 764 (Pubitemid 36906334)
E. Camponogara, D. Jia, B.H. Krogh, and S. Talukdar Distributed model predictive control IEEE Control Syst Mag 9 1 2002 44 52 (Pubitemid 34228794)
R. Scattolini Architectures for distributed and hierarchical model predictive control: a review J Process Control 19 2009 723 731
A. Monticelli, M.V.F. Pereira, and S. Granville Security-constrained optimal power flow with post-contingency corrective rescheduling IEEE Trans Power Syst 2 1 1987 175 180
B. Marinescu, and H. Bourles Robust predictive control for the flexible coordinated secondary voltage control of large-scale power systems IEEE Trans Power Syst 14 4 1999 1262 1268 (Pubitemid 32082780)
Talukdar S, Jia D, Hines P, Krogh BH. Distributed model predictive control for the mitigation of cascading failures. In: Proc of 44th IEEE conference on decision and control. Seville, Spain; 2005. p. 4440-5.
B. Otomega, A. Marinakis, M. Glavic, and T. Van Cutsem Model predictive control to alleviate thermal overloads IEEE Trans Power Syst 22 8 2007 1384 1385 (Pubitemid 47278399)
M. Larsson, and D. Karlsson Coordinated system protection scheme against voltage collapse using heuristic search and predictive control IEEE Trans Power Syst 18 3 2003 1115 1122
L. C Jin, R. Kumar, and N. Elia Model predictive control-based real-time power system protection schemes IEEE Trans Power Syst 25 2 2010 988 998
M. Glavic, M. Hajian, W. Rosehart, and T. Van Cutsem Receding-morizon multi-step optimization to correct nonviable or unstable transmission voltages IEEE Trans Power Syst 26 3 2011 1641 1650
J.J. Ford, G. Ledwich, and Z.Y. Dong Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices IET Generat Trans Distribut 2 5 2008 731 742
B. Chaudhuri, R. Majumder, and B.C. Pal Application of multiple model adaptive control strategy for robust damping of interarea oscillations in power system IEEE Trans Control Syst Technol 12 5 2004 727 736
R. Majumder, B. Chaudhuri, and B.C. Pal A probabilistic approach to model-based adaptive control damping of interarea oscillations in power system IEEE Trans Power Syst 20 1 2005 367 374 (Pubitemid 40259456)
Short TA, Pierre DA, Smith JR. Self-tuning generalized predictive control for switched capacitor damping of power system oscillations. In: Proc of 28th IEEE conference on decision and control, vol. 2. Tampa, FL; 1989. p. 1847-52. (Pubitemid 20701088)
Johansson NP, Nee HP, Angquist L. An adaptive model predictive approach to power oscillation damping utilizing variable series reactance FACTS devices. In: Proc of 41st int universities power engineering conference (UPEC), vol. 2. Newcastle, UK; 2006. p. 790-4.
Wang L, Cheung H, Hamlyn A, Cheung R. Model predictive adaptive control of inter-area oscillations in multi-generator power systems. In: Proc of the IEEE PES general meeting. Calgary, Canada; 2009. p. 1-7.
Wang D, Glavic M, Wehenkel L. A new MPC scheme for damping wide-area electromechanical oscillations in power systems. In: Proc of the 2011 IEEE PES powertech. Trondheim, Norway; 2011.
Wang D, Glavic M, Wehenkel L. Distributed MPC of wide-area electromechanical oscillations of large-scale power systems. In: Proc of the 16th intelligent system applications to power systems (ISAP). Crete, Greece; 2011.
A.N. Venkat, I.A. Hiskens, J.B. Rawlings, and S.J. Wright Distributed MPC strategies with application to power system automatic generation control IEEE Trans Control Syst Technol 16 6 2008 1192 1206
S. Roshany-Yamchi, M. Cychowsky, R.R. Negenborn, B. De Schutter, K. Delaney, and J. Connell Kalman filter-based distributed model predictive control of large-scale multi-rate systems: application to power networks IEEE Trans Control Syst Technol 23 1 2013 27 39
F. Okou, L.A. Dessaint, and O. Akhrif Power systems stability enhancement using a wide-area signals based hierarchical controller IEEE Trans Power Syst 20 3 2005 1465 1477 (Pubitemid 41300960)
J.H. Chow, and K.W. Cheung A toolbox for power system dynamics and control engineering education and research IEEE Trans Power Syst 7 4 1992 1559 1564
Motee N, Rodsari BS. Optimal partitioning in distributed model predictive control. In: Proc of the 2003 American control conference colorado. USA; June, 2003. p. 5300-5.
Meliopoulos APS, Cokkinides GJ, Galvan F, Fardanesh B. Distributed state estimator-advances and demonstration. In: Proc 2008 41st Hawaii int conf system sciences. Waikoloa, USA; 2008.
H. Wu, K.S. Tsakalis, and G.T. Heydt Evaluation of time delay effects to wide-area power system stabilizer design IEEE Trans Power Syst 20 2004 1935 1941
