Comparative Fault Response study of Synchronous Generator in the presence of Wind Generator using Singular Perturbation based Transient Stability Index
Abstract
The presence of wind generator in interconnected power systems is an important aspect to be considered while studying transient faults. A deeper understanding of transient stability study is essential for the qualitative assessment of the system which includes wind generator. This understanding can be achieved by calculating transient stability index using singular perturbation method. For the calculation of this transient stability index, the state variables are modelled in a realistic approach of slow and fast time frames. In this study, the transient stability assessment results obtained using the method of singular perturbation are compared with the corresponding results calculated using catastrophe theory and linearized singular perturbation methods. In order to understand the implications of presence of a wind generator in the system during transient faults, the study also focuses on the effect of circuit breaker clearing time and generator transient reactance.Â
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Pavella Mania, Damien Ernst and Daniel Ruiz-Vega, Transient stability of power systems: a unified approach to assessment and control, Springer Science & Business Media, 2012. (Book)
A.A.Fouad and V. Vittal, Power system transient stability analysis using the transient energy function method, Prentice Hall, 1992. (Book)
H.D.Chiang, Direct methods for stability analysis of electric power systems-theoretical foundation, BCU methodologies and applications, John Wiley & Sons, 2011. (Book)
Zou, Yun, Ming-Hui Yin, and Hsiao-Dong Chiang, “Theoretical foundation of the controlling UEP method for direct transient-stability analysis of network-preserving power system modelsâ€, IEEE Trans. on Circuits and Systems I: Funda. Theo. and Appl., Vol 50, No. 10, pp: 1324-1336, 2003. (Article)
Kundur Prabha, Power system stability and control, Edited by Neal J. Balu, and Mark G. Lauby. Vol. 7. New York: McGraw-hill, 1994. (Book)
Fouad, A. A., Vittal, V., Ni, Y. X., Pota, H. R., Nodehi, K., Zein-Eldin, H. M. and Kim, J, “Direct transient stability assessment with excitation controlâ€, IEEE Trans. on Power Systems, Vol 4, No 1,, pp: 75-82, 1989. (Article)
Avramovic, Bozidar, Petar V. Kokotovic, James R. Winkelman, and Joe H. Chow, "Area decomposition for electromechanical models of power systems", Automatica , No 6, pp: 637-648, 1980. (Article)
Khorasani, K., and M. A. Pai, "Two time scale decomposition and stability analysis of power systems", IEE Proc. D (Control Theory and Applications), Vol. 135, No 3, pp: 205-212, 1988.(Conference)
Vu, Thanh Long, and Konstantin Turitsyn. "Lyapunov functions family approach to transient stability assessment", IEEE Trans. on Power Systems, Vol 31, No 2, pp: 1269-1277, 2016. (Article)
Wright, Sherwin H, "Determination of synchronous machine constants by test reactances, resistances, and time constants", Trans. of the American Insti. of Elec. Engg., Vol.50, No 4 ,pp: 1331-1350, 1931.(Article)
H.D.Chiang and LuÃs FC Alberto, Stability regions of nonlinear dynamical systems: theory, estimation, and applications. Cambridge University Press, 2015. (Book)
Saberi Ali and Hassan Khalil, “Quadratic-type Lyapunov functions for singularly perturbed systems†,IEEE Trans. on Automatic Control, Vol 29, No 6, pp: 542-550,1984.(Article)
Kokotović Peter, Hassan K. Khalil, and John O'reilly, Singular perturbation methods in control: analysis and design, Society for Industrial and Applied Mathematics, 1999.(Book)
Prasad S, S.C. Tripathy and T. S. Bhatti, “Transient stability analysis of power system using catastrophe theory including field flux decay effectâ€, Electric machines and power systems, Vol 26, pp: 543-464, 1998. (Article)
DOI (PDF): https://doi.org/10.20508/ijrer.v8i2.7607.g7386
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