Long-term dynamics; quasi-steady state approximation; singular perturbation theory; time scale decomposition
Abstract :
[en] This paper proposes a two-time scale simulation approach of both short-term and long-term dynamics in power systems. The short-term transient period is analyzed by a full-time scale simulation while a quasi-steady state model of the power system is used to simulate long-term dynamics. The proposed method is inspired of Singular Perturbation theory to model the interaction between the short-term and long-term dynamics. Based on this interaction, a suitable criterion to determine when the quasi-steady state model of a power system can be considered as a uniform approximation of the full-time scale model is proposed, which also determines the appropriate switching time between models. The proposed method is demonstrated on the 10-machine, 39-bus New England system and a 46-machine, 190-bus equivalent Mexican system.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Ramirez-Betancour, Reymundo
Fuerte-Esquivel, Claudio
Van Cutsem, Thierry ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
A two-time scale simulation for dynamic analysis of power systems
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Bibliography
J.H. Chow Time Scale Modeling of Dynamic Networks with Applications to Power Systems. Lecture Notes in Control and Information Sciences 1982 Springer-Verlag Berlin
M. Stubbe, A. Bihain, J. Deuse, and J.C. Baader STAG - a new unified software program for the study of the dynamic behaviour of electrical power systems IEEE Trans. Power Syst. 4 February (1) 1989 129 138
J.Y. Astic, A. Bihain, and M. Jerosolimski The mixed Adams-BDF variable step size algorithm to simulate transient and long term phenomena in power systems IEEE Trans. Power Syst. 9 May (2) 1994 929 935
J.J. Sanchez-Gasca, R. D'Aquila, W.W. Price, and J.J. Paserba Variable time step, implicit integration for extended-term power system dynamic simulation Proceedings of the IEEE Power Industry Computer Application Conference 1995 183 189
R.J. Frowd, J.C. Giri, and R. Podmore Transient stability and long-term dynamics unified IEEE Trans. Power. Appl. Syst. PAS-101 October (10) 1982 3841 3850 (Pubitemid 13474755)
D. Yang, and V. Ajjarapu A decoupled time-domain simulation method via invariant subspace partition for power system analysis IEEE Trans. Power Syst. 21 February (1) 2006 11 18 (Pubitemid 43204697)
M.-E. Grenier, D. Lefebvre, and T. Van Cutsem Quasi-steady state models for long-term voltage and frequency dynamics simulation Proceedings of the IEEE Power and Technology Conference 2005 1 8
L. Loud, P. Rousseaux, D. Lefebvre, and T. Van Cutsem A time-scale decomposition-based simulation tool for voltage stability analysis, in: Proc Proceedings of the IEEE Power and Technology Conference 2001 1 6
T. Van Cutsem, M.-E. Grenier, and D. Lefebvre Combined detailed and quasi steady-state time simulations for large-disturbance analysis Int. J. Elect. Power Energy Syst. 28 November (9) 2006 634 642 (Pubitemid 44430199)
X. Xu, R.M. Mathur, J. Jiang, G.J. Rogers, and P. Kundur Modeling of generators and their controls in power system simulations using singular perturbations IEEE Trans. Power Syst. 13 February (1) 1998 109 114 (Pubitemid 128748846)
G. Peponides, P.V. Kokotovic, and J.H. Chow Singular perturbations and time scales in nonlinear models of power systems IEEE Trans. Circuits Syst. CAS-29 November (11) 1982 758 767 (Pubitemid 13491287)
E.G. Cate, K. Hemmaplardh, J.W. Manke, and D.P. Gelopulos Time frame notion and time response of the models in transient, mid-term and long term stability programs IEEE Trans. Power. Appl. Syst. PAS-103 January (1) 1984 143 151 (Pubitemid 14506192)
T. Van Cutsem, and C. Vournas Voltage Stability of Electric Power Systems 1998 Kluwer Academic Publishers MA
F.P. de Mello, J.W. Feltes, T.F. Laskowski, and L.J. Oppel Simulating fast and slow dynamic effects in power systems IEEE Comput. Appl. Power 5 July (3) 1992 33 38
P. Kokotovic, H.K. Khalil, and J. O'Reilly Singular Perturbation Methods in Control: Analysis and Design 1986 Academic Press London
M.A. Pai Energy Function Analysis for Power System Stability 1989 Kluwer MA
P. Kundur Power System Stability and Control 1994 McGraw-Hill New York
M.J. González, A. Cañizares, and J.M. Ramírez Stability modeling and comparative study of series vectorial compensators IEEE Trans. Power Deliv. 25 April 2 2010 1093 1103
A.R. Messina, and V. Vittal Assessment of nonlinear interaction between nonlinearly coupled modes using higher order spectra IEEE Trans. Power Syst. 20 February (1) 2005 375 383 (Pubitemid 40259457)
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