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Publisher: IEEE
Languages: English
Types: Article
Subjects:
This paper develops a modelling method for robust stability analysis of non-linear electrical power systems over a range of operating points and under parameter uncertainties. Standard methods can guarantee stability under nominal condi¬tions but do not take into account any uncertainties of the model. In this work, stability is assessed by using structured singular value (SSV) analysis also known as analysis. This method provides a measure of stability robustness of linear systems against all considered sources of structured uncertainties. The aim of this work is to apply the SSV method for robust small-signal analysis of non-linear systems over a range of operating points and parameter variations. To that end, a modelling methodology is developed to represent any such system with an equivalent linear model that contains all system variabil¬ity, in addition to being suitable for analysis. The method employs symbolic linearisation around an arbitrary operating point. Furthermore, in order to reduce conservativeness in the stability assessment of the non-linear system, the approach takes into account dependencies of operating points on parameter variations. The methodology is verified through analysis of the equivalent linear model of a 4 kW permanent magnet machine drive, which successfully predicts the destabilising torque over a range of different operating points and under parameter variations. Further, the predictions from analysis are validated against experimental results.
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    • [1] I. Moir and A. Seabridge, Aircraft systems: mechanical, electrical and avionics subsystems integration, vol. 52. John Wiley & Sons, 2011.
    • [2] R. D. Middlebrook, “Input filter considerations in design and application of switching regulators,” IAS Record, 1976, 1976.
    • [3] A. B. Jusoh, “The instability effect of constant power loads,” in Power and Energy Conference, 2004. PECon 2004. Proceedings. National, pp. 175-179, IEEE, 2004.
    • [4] S. Sumsurooah, M. Odavic, and S. Bozhko, “Development of lft-based models for robust stability analysis of a generic electrical power system over all operating conditions,” in Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS), 2015 International Conference on, pp. 1-6, March 2015.
    • [5] K. Areerak, Modelling and stability analysis of aircraft power systems. PhD thesis, Department of Electrical and Electronic Engineering, University of Nottingham, UK, 2009.
    • [6] A. Riccobono and E. Santi, “Comprehensive review of stability criteria for DC power distribution systems,” Industry Applications, IEEE Transactions on, vol. 50, no. 5, pp. 3525-3535, 2014.
    • [7] M. Kuhn, Y. Ji, and D. Schrder, “Stability studies of critical dc power system component for more electric aircraft using sensitivity,” in Control & Automation, 2007. MED'07. Mediterranean Conference on, pp. 1-6, IEEE, 2007.
    • [8] J. Elizondo, R. Y. Zhang, J. K. White, and J. L. Kirtley, “Robust small signal stability for microgrids under uncertainty,” in Power Electronics for Distributed Generation Systems (PEDG), 2015 IEEE 6th International Symposium on, pp. 1-8, IEEE, 2015.
    • [9] S. D. Sudhoff, S. F. Glover, P. T. Lamm, D. H. Schmucker, and D. Delisle, “Admittance space stability analysis of power electronic systems,” Aerospace and Electronic Systems, IEEE Transactions on, vol. 36, no. 3, pp. 965-973, 2000.
    • [10] J. Doyle, “Analysis of feedback systems with structured uncertainties,” in IEE Proceedings D (Control Theory and Applications), vol. 129, pp. 242-250, IET, 1982.
    • [11] K. Zhou, J. Doyle, and K. Glover, Robust and Optimal Control. Feher/Prentice Hall Digital and, Prentice Hall, 1996.
    • [12] S. Sumsurooah, M. Odavic, and D. Boroyevich, “Modelling and robust stability analysis of uncertain systems,” in Proceedings of the 2013 Grand Challenges on Modeling and Simulation Conference, p. 13, Society for Modeling & Simulation International, 2013.
    • [13] A. Varga, G. Looye, D. Moormann, and G. Gra¨bel, “Automated generation of lft-based parametric uncertainty descriptions from generic aircraft models,” Mathematical and Computer Modelling of Dynamical Systems, vol. 4, no. 4, pp. 249-274, 1998.
    • [14] R. Castellanos, A. Messina, and H. Sarmiento, “Robust stability analysis of large power systems using the structured singular value theory,” International Journal of Electrical Power & Energy Systems, vol. 27, no. 5, pp. 389-397, 2005.
    • [15] K.-N. Areerak, S. Bozhko, L. de Lillo, G. Asher, D. Thomas, A. Watson, and T. Wu, “The stability analysis of ac-dc systems including actuator dynamics for aircraft power systems,” in Power Electronics and Applications, 2009. EPE '09. 13th European Conference on, pp. 1-10, Sept 2009.
    • [16] S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design. Multivariable Feedback Control: Analysis and Design, Wiley, 2005.
    • [17] G. J. Balas, J. C. Doyle, K. Glover, A. Packard, and R. Smith, “ - analysis and synthesis toolbox: For use with matlab,” 2001.
    • [18] R. B. Castellanos, C. T. Juarez, J. H. Hernandez, and A. R. Messina, “Robustness analysis of large power systems with parametric uncertainties,” in Power Engineering Society General Meeting, 2006. IEEE, pp. 8 pp.-, 2006.
    • [19] M. Green and D. J. Limebeer, Linear robust control. Courier Dover Publications, 2012.
    • [20] A. Packard and J. Doyle, “The complex structured singular value,” Automatica, vol. 29, no. 1, pp. 71-109, 1993.
    • [21] G. Ferreres, A practical approach to robustness analysis with aeronautical applications. Springer Science & Business Media, 1999.
    • [22] S. Sudhoff and O. Wasynczuk, “Analysis and average-value modeling of line-commutated converter-synchronous machine systems,” Energy Conversion, IEEE Transactions on, vol. 8, no. 1, pp. 92-99, 1993.
    • [23] S. Sumsurooah, S. Bozhko, M. Odavic, and D. Boroyevich, “Stability and robustness analysis of a dc/dc power conversion system under operating conditions uncertainties,” in Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE, pp. 003110-003115, Nov 2015.
    • [24] A. Varga, “Balancing free square-root algorithm for computing singular perturbation approximations,” in Decision and Control, 1991., Proceedings of the 30th IEEE Conference on, pp. 1062-1065, IEEE, 1991.
    • [25] D.-W. Gu, Robust Control Design with MATLAB, vol. 1. Springer, 2005.
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