Sensitivity of Small Disturbance Angle Stability to the System Parameters of Future Power Networks
Authors: Nima Farkhondeh Jahromi, George Papaefthymiou, Lou van der Sluis
Abstract:
The incorporation of renewable energy sources for the sustainable electricity production is undertaking a more prominent role in electric power systems. Thus, it will be an indispensable incident that the characteristics of future power networks, their prospective stability for instance, get influenced by the imposed features of sustainable energy sources. One of the distinctive attributes of the sustainable energy sources is exhibiting the stochastic behavior. This paper investigates the impacts of this stochastic behavior on the small disturbance rotor angle stability in the upcoming electric power networks. Considering the various types of renewable energy sources and the vast variety of system configurations, the sensitivity analysis can be an efficient breakthrough towards generalizing the effects of new energy sources on the concept of stability. In this paper, the definition of small disturbance angle stability for future power systems and the iterative-stochastic way of its analysis are presented. Also, the effects of system parameters on this type of stability are described by performing a sensitivity analysis for an electric power test system.
Keywords: Power systems stability, Renewable energy sources, Stochastic behavior, Small disturbance rotor angle stability.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1081283
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[1] P. Kundur, J. Paserba, V. Ajjarapu, G. Andersson, A. Bose, C. Canizares, N. Hatziargyriou, D. Hill, A. Stankovic, C. Taylor, Th. van Cutsem, V. Vittal, "Definition and Classification of Power System Stability", IEEE Trans. on Power Systems, Vol. 16, No. 2, May 2004.
[2] M. Ghandhari, "Control Lyapunov Functions: A control strategy for damping of power oscillations in large power systems", Ph.D. dissertation, The Royal Institute of Technology, TRITA-EES-0004, ISSN 1100-1607, 2000.
[3] P. M. Anderson, A. A. Fouad, Power System Control and Stability: The Iowa State University Press, 1977.
[4] J. J. Grainger, W. D. Stevenson, Power System Analysis: McGraw-Hill, 1994.
[5] N. Farkhondeh, G. Papaefthymiou, L. van der Sluis, "Survey on the Application of Chaos Theory to the Stability Analysis of Electric Power Systems", Proceedings of the IEEE Young Researchers Symposium, Eindhoven, The Netherlands, February 2008.
[6] Hsiao-Dong Chiang et al., "Chaos in a Simple Power System", IEEE Trans. on Power Systems, Vol. 8, No. 4, November 1993.
[7] http://en.wikipedia.org/wiki/Taylor series(online).
[8] A. M. Lyapunov, Stability of Motion: Academic Press, Inc., 1967.
[9] P. A. Cook, Nonlinear Dynamical Systems, Second ed: Prentice Hall, Inc., 2004.
[10] P. Kundur, Power System Stability and Control: McGraw-Hill, 1994.
[11] G. Papaefthymiou, "Integration of Stochastic Generation in Power Systems", Ph.D. dissertation, Delft University of Technology, ISBN 978- 90-8570-186-6, 2007.
[12] http://en.wikipedia.org/wiki/Normal distribution (online).
[13] N. Jenkins. et al., "Embeded Generation", IEE Trans. on Power and Energy, No. 31, 2000.
[14] J. G. Slootweg, "Wind Power: Modelling and Impact on Power System Dynamics", Ph.D. dissertation, Delft University of Technology, ISBN 90- 9017239-4, 2003.
[15] http://mathworld.wolfram.com/WeibullDistribution.html(online).
[16] D. J. Erdman, A. Sinko, "Using Copulas to Model Dependency Structures in Econometrics", SAS Global Forum, Paper 321, 2008.
[17] P. Schavemaker, L. van der Sluis, Electrical Power System Essentials: John Wiley and Sons, Ltd., 2008
[18] http://www.windpower.org/en/tour/wres/weibull (online).