Adaptive sliding mode control for multi-machine power systems under normal and faulted conditions

Document Type : Article

Authors

1 Department of Electrical Engineering, Lorestan University, Lorestan, Khorramabad, Iran

2 Department of Electrical Engineering, Islamic Azad University, Khomeinishahr Branch, Khomeinishahr, Iran

Abstract

This paper proposes a new adaptive sliding mode (ASM) decentralized excitation controller to improve the stability of multi-machine power systems under different perturbations such as system’ parametric and structural uncertainties. The stability of the closed-loop system is proved by Lyapunov stability theory. The proposed controller is evaluated through simulation on the standard IEEE 33-bus-bar power system which contains 6 synchronous machines and a HVDC-link. The simulation results indicate good robustness and satisfactory performance of the proposed controller. Moreover, in this paper, using the space-phasor based sequence networks method, a procedure for the dynamic analysis of modern power systems under the transient asymmetrical faults is presented. The method considers the complete dynamics of the synchronous machines and the HVDC-link and provides the possibility of taking into account the sequence networks dynamics.

Keywords

References

References:
1. Kundur, P., Power System Stability and Control, 1stv Edn., pp. 3-40, New York, McGraw-Hill (1994).
2. Chaturvedi, D.K., Malik, O.P., and Kalra, P.K. "Performance of a generalized neuron-based PSS in a multimachine power system", IEEE Transactions on Energy Conversion, 19(3), pp. 625-632 (2004).
3. Shojaeian, Sh., Soltani, J., and Arab Markadeh, Gh. "Damping of low frequency oscillations of multimachine multi-UPFC power systems, based on adaptive input-output feedback linearization control", IEEE Transactions on Power Systems, 27(4), pp. 1831-1840 (2012).
4. Preece, R., Milanovic, J.V., Almutairi, A.M., et al. "Probabilistic evaluation of damping controller in networks with multiple VSC-HVDC lines", IEEE Transactions on Power Systems, 28(1), pp. 367-376 (2013).
5. Knuppel, T., Nielsen, J.N., Jensen, K.H., et al. "Smallsignal stability of wind power system with full-load converter interfaced wind turbines", IET Renewable Power Generation, 6(2), pp. 79-91 (2012).
6. Vittal, V., McCalley, J.D., Anderson, P.M., et al., Power System Control and Stability, 3nd Edn., pp. 281-322, New York, Wiley-IEEE Press (2019).
7. Demello, F.P. and Concordia, C. "Concepts of synchronous machine stability as affected by excitation control", IEEE Transactions on Power Apparatus and Systems, PAS-88(4), pp. 316-329 (1969).
8. Dysko, A., Leithead, W.E., and O'Reilly, J. "Enhanced power system stability by coordinated PSS design", IEEE Transactions on Power Systems, 25(1), pp. 413- 422 (2010).
9. Kulkarni, N., Kamalasadan, S., and Ghosh, S. "An integrated method for optimal placement and tuning of a power system stabilizer based on full controllability index and generator participation", IEEE Transactions Industry Applications, 51(5), pp. 4201-4211 (2015).
10. Machowski, J., Robak, S., Bialek, J.W., et al.  Decentralized stability-enhancing control of synchronous generator", IEEE Transactions on Power Systems, 15(4), pp. 1336-1344 (2000).
11. Mahmud, M.A., Pota, H.R., Aldeen, M., et al. "Partial feedback linearizing excitation controller for multimachine power systems to improve transient stability", IEEE Transactions on Power Systems, 29(2), pp. 561-571 (2014).
12. Peric, V.S., Saric, A.T., and Grabez, D.I. "Coordinated tuning of power system stabilizers based on Fourier transform and neural networks", Electric Power Systems Research, 88, pp. 78-88 (2012).
13. Yousef, H. "Adaptive fuzzy logic load frequency control of multi-area power system", International Journal of Electrical Power & Energy Systems, 68, pp. 384-395 (2015).
14. Utkin, V.I., Guldner, J., and Shi, J., Sliding Mode Control in Electromechanical Systems, pp. 1-13, London, U.K., Taylor & Francis (1999).
15. Abidi, Kh. and Sabanovic, A. "Sliding-mode control for high-precision motion of Piezostage", IEEE Transactions on Industrial Electronics, 54(1), pp. 629-637 (2007).
16. Colbia-Vega, A., de Leon-Morales, J., Fridman, L., et al.  Robust excitation control design using slidingmode technique for multimachine power systems", Electric Power Systems Research, 78(9), pp. 1627- 1634 (2008).
17. Ouassaid, M., Maaroufi, M., and Cherkaoui, M. "Observer-based nonlinear control of power system using sliding mode control strategy", Electric Power Systems Research, 84(1), pp. 135-143 (2012).
18. Huerta, H., Loukianov, A.G., and Canedo, J.M. "Multimachine power-system control: integral-SM approach", IEEE Transactions on Industrial Electronics, 56(6), pp. 2229-2236 (2009).
19. Huerta, H., Loukianov, A.G., and Canedo, J.M. "Decentralized sliding mode block control of multimachine power systems", International Journal of Electrical Power & Energy Systems, 32(1), pp. 1-11 (2010).
20. Huerta, H., Loukianov, A.G., and Canedo, J.M. "Passivity-based sliding mode control of power systems", IEEE 10th International Workshop on Variable Structure Systems, pp. 343-348 (Jun. 2008).
21. Huerta, H., Loukianov, A.G., and Canedo, J.M. "Passivity sliding mode control of large-scale power systems", IEEE Transactions on Control Systems Technology, 27(3), pp. 1219-1227 (2019).
22. Lin, Z.W., Zhang, Z., Huang, H., et al. "Adaptive sliding mode control on single-machine infinite-bus power systems", IEEE Proceedings of the 31st Chinese Control Conference, pp. 3229-3234 (Jul. 2012).
23. Huang, Y.J., Kuo, T.C., and Chang, S.H. "Adaptive sliding-mode control for nonlinear systems with uncertain parameters", IEEE Transactions on Systems, Man, and Cybernetics, 38(2), pp. 534-539 (2008).
24. Samanfar, A., Shakarami, M.R., Soltani, J., et al. "Dynamic analysis of multi-machine multi-UPFC power systems experiencing transient asymmetrical faults", IET Generation, Transmission & Distribution, 13(19), pp. 4491-4502 (2019).
25. Krause, P.C., Wasynczuk, O., Sudhoff, S.D., Analysis of Electric Machinery and Drive Systems, 2nd Edn., pp. 191-256, New York, Jhon Wiley & Sons (2002).
26. Lu, Q., Sun, Y., and Mei, Sh., Nonlinear Control Systems and Power System Dynamics, pp. 277-308, China, Kluwer Academic Publishers (2001).
Scientia Iranica
Volume 29, Issue 5
Transactions on Computer Science & Engineering and Electrical Engineering (D)
September and October 2022
Pages 2526-2536

Files

Share

How to cite

Statistics