Abstract
This chapter deals with the design and application of a robust Fractional Order PID (FOPID) power system stabilizer tuned by Genetic Algorithm (GA). The system’s robustness is assured through the application of Kharitonov’s theorem to overcome the effect of system parameter’s changes within upper and lower pounds. The FOPID stabilizer has been simplified during the optimization using the Oustaloup’s approximation for fractional calculus and the “nipid” toolbox of Matlab during simulation. The objective is to keep robust stabilization with maximum attained degree of stability against system’s uncertainty. This optimization will be achieved with the proper choice of the FOPID stabilizer’s coefficients (kp, ki, kd, λ, and δ) as discussed later in this chapter. The optimization has been done using the GA which limits the boundaries of the tuned parameters within the allowable domain. The calculations have been applied to a single machine infinite bus (SMIB) power system using Matlab and Simulink. The results show superior behavior of the proposed stabilizer over the traditional PID.
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References
Aboelela, M. A. S., Ahmed, M. F., & Dorrah, H. T. (2012). Design of aerospace control systems using fractional PID controller. Journal of Advanced Research, 3(2), 185–192.
Azar, A. T., & Serrano F. E. (2015). Adaptive sliding mode control of the furuta pendulum. In: A. T. Azar & Q. Zhu (eds.), Advances and applications in sliding mode control systems, Studies in computational intelligence (Vol. 576, pp. 1–42). Berlin/Heidelberg: Springer-Verlag GmbH.
Barmish, B. R. (1994). New tools for robustness of linear systems. Macmillan Publisher.
Chen, G., & Malik, O. (1995). Tracking constrained adaptive power system stabilizer. IEE Proceedings, Generation, Transmission and Distribution, 142, 149–156.
Chen, S., & Malik, O. P. (1995). H∞ optimization-based power system stabilizer design. IEE Proceedings, Generation, Transmission and Distribution, 142, 179–184.
deMello, F. P., & Concordia, C. (1969). Concepts of synchronous machine stability as affected by excitation control. IEEE Transactions on Power Apparatus and Systems, PAS-88, 316–327.
Dorcak, L., Petras, I., Kostial, I., & Terpak, J. (2001). State space controller design for the fractional-order regulated system. In Proceedings of the International Carpathian Control Conference (pp. 15–20).
Doyle, J. C., Francis, B. A., & Tannenbaum, A. R. (1992). Feedback control theory. New York: Macmillan Press.
Duc, G., & Font, S. (1999). H∞ theory and μ- analyse, tools for robustness. Paris: HERMES Science Publications.
El-Metwally, K. A., Elshafei, A. L., Soliman, H. M. (2006). A robust power-system stabilizer design using swarm optimization. International Journal Of Modeling, Identification and Control, 1(4).
Goldberg, D. E. (1989). Algorithms in search, optimization, and machine learning. Addison-Wiley Publishing Company, Inc.
Goldberg, D. E. (1991). Genetic algorithms in search optimization and machine learning. Reading, MA: Addison-Wesley Publishing Company, Inc.
Gosh, A., Ledwich, M. O., & Hope, G. (1989). Power system stabilizers based on adaptive control techniques. IEEE Transactions on Power Apparatus and Systems, PAS-103, 8, 1983–1989.
Klein, M., Rogers, G. J., Moorty, S., & Kundur, P. (1992). Analytical investigation of factors influencing PSS performance. IEEE Transaction on EC, 7(3), 382–390.
Kothari, M. L., Bhattacharya, K., & Nada, J. (1996). Adaptive power system stabilizer based on pole shifting technique. IEE Proceedings, 143, Pt. C, No. 1, 96–98.
Koza, J. R. (1991). Genetic evolution and co-evolution of computer programs. In C. G. Langton, C. Taylor, J. D. Farmer, & S. Rasmussen (Eds.), Artificial life II: SFI studies in the sciences of complexity (Vol. 10). Addison-Wesley.
Kundur, P. (1994). Power system stability and control. McGraw-Hill.
Lee, S. S., & Park, J. K. (1998). Design of reduced order observer based variable structure power system stabilizer for immeasurable state variables. IEE Proceedings Conference Transmission and Distribution, 145(5), 525–530.
MacFarlane, D. C., & Glover, K. (1992). A loop shaping design procedure using H∞ synthesis. IEEE Transactions on Automatic Control, AC-37, 759–769.
Malik, O. P., Chen, G., Hope, G., Qin, Y., & Xu, G. (1992). An adaptive self-optimizing pole shifting control algorithm. IEE Proceedings of D, 139, 429–438.
Mehran, R., Farzan, R., & Hamid, M. (2003). Tuning of power system stabilizers via genetic algorithm for stabilization of power systems. In Proceedings of the IEEE International Conference on Systems, Man & Cybernetics (pp. 649–654). Washington, D.C., USA, 5–8 October.
Milos, S., & Martin, C. (2006). The fractional order PID controller outperforms the classical one. In 7th International Scientific-Technical Conference–Process Control, June 13–16, Kouty nad Desnou, Czech Republic.
Mrad, F., Karaki, S., & Copti, B. (2000). An adaptive fuzzy synchronous machine stabilizer. IEEE Transactions on Systems, Man, and Cybernetics, 30(1), 131–137.
Petras, I. (1999). The fractional order controllers: Methods for their synthesis and application. Journal of Electrical Engineering, 50(9), 284–288.
Petras, I., Lubomir, D., & Imrich, K. (1998). Control quality enhancement by fractional order. In 2nd National Conference on Recent Trends in Information Systems (ReTIS-08) Controllers. Acta Montanistica Slovaca, 3(2), 143–148.
Petras, I., & Vinagre, B. M. (2002). Practical applications of digital fractional order controller to temperature control. In Acta Montanistica, Slovaca Rocnik, 2, 131–137.
Podlubny, I. (1999). Fractional-order systems and PIλDδ controllers. IEEE Trans. on Automatic Control, 44(1), 208–213.
Podlubny, I. P., Petras, I., Blas, M. V., Yang-Quan, C., O’ Leary, P., & Lubomir, D. (2003). Realization of fractional order controllers. Acta Montanistica Slovaca, 8.
Podlubny, I. P., Vinagre, B. M., O’ Leary, P., & Dorcak L. (2002). Analogue realizations of fractional-order controllers. Nonlinear Dynamics, 29, 281–296.
Rashidi M., Rashidi F., & Monavar, H. (2003). Tuning of power system stabilizers via genetic algorithm for stabilization of power systems. In Proceedings of the IEEE International Conference on Systems, Man & Cybernetics (pp. 649–654). Washington, D.C., USA, 5–8 October.
Samarasinghe, V. G., & Pahalawaththa, N. C. (1997). Damping of multimodal oscillations in power systems using variable structure control techniques. IEE Proceedings of Generation, Transmission and Distribution, 144(3), 323–331.
Schlegel, M., & Cech, M. (2006). The fractional order PID controller outperforms the classical one. In 7th International Scientific-Technical Conference, June 13–16, Kouty nad Desnou, Czech Republic.
Shamsollahi, P., & Malik O. P. (1999). Adaptive control applied to synchronous generator. IEEE Transactions on Energy Conversion, I4(4), l341–1346.
Shu, H., & Chen, T. (1997). Robust digital design of power system stabilizers. In Proceedings of the American Control Conference, Albuquerque, 1953–1957.
Soliman, H., Elshafei, A. L., Shaltout, A. A., & Morsi, M. F. (2000). Robust power system stabilizer. IEE Proceedings, Generation, Transmission and Distribution, 147(5), 285–291.
Soliman, H. M., & Sakr, M. M. F. (1988). Wide-range power system pole placer. IEE Proceedings, 135, Pt. C, No. 3, 195–201.
Sun, C., Zhao, Z., Sun, Y., & Lu, Q. (1996). Design of non-linear robust excitation control for multi-machine power system. IEE Proceedings, Generation, Transmission and Distribution, 143, 253–257.
Valério, D., & Sá Da Costa, J. (2004). Ninteger: A fractional control toolbox for Mat lab. In First IFAC Workshop on Fractional Differentiation and Its Applications. Bordeaux: IFAC.
Vinagre, B. M., Podlubny, I., Dorcak, L., & Feliu, V. (2000). On fractional PID controllers: A frequency domain approach. In Proceedings of IFAC Workshop on Digital Control—Past, Present and Future of PID Control (pp. 53–58).
Xue, D., Chen, Y., & Atherton, D. P. (2007). Linear Feedback Control. Society for Industrial and Applied Mathematics. Philadelphia.
Young-Hyun, M., Heon-Su, R., Jong-Gi, L., Kyung-Bin, S., & Myong-Chul, S. (2002). Extended integral control for load frequency control with the consideration of generation-rate constraints. International Journal of Electrical Power & Energy Systems, 24(4), 263–269.
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Appendices
Appendix A: Derivation of k-Constants
All the variables with subscript 0 are values of variables evaluated at their pre-disturbance steady-state operating point from the known values of P0, Q0 and Vt0.
Appendix B
Nomenclature
All quantities are per unit on machine base.
- D:
-
Damping Torque Coefficient
- M:
-
Inertia constant
- ω:
-
Angular speed
- \( \updelta \) :
-
Rotor angle
- Id, Iq :
-
Direct and quadrature components of armature current
- \( x_{d} \,{\text{and}}\,x_{q} \) :
-
Synchronous reactance in d and q axis
- \( x{{\prime }}_{d} \,{\text{and}}\,x{{\prime }}_{q} \) :
-
Direct axis and Quadrature axis transient reactance
- E fd :
-
Equivalent excitation voltage
- KE :
-
Exciter gain
- TE :
-
Exciter time constant
- Tm and Te :
-
Mechanical and Electrical torque
- \( T{{\prime}}_{do} \) :
-
Field open circuit time constant
- Vd and Vq :
-
Direct and quadrature components of terminal voltage
- K1 :
-
Change in Te for a change in \( \updelta \) with constant flux linkages in the d axis
- K2 :
-
Change in Te for a change in d axis flux linkages with constant \( \updelta \)
- K3 :
-
Impedance factor
- K4 :
-
Demagnetizing effect of a change in rotor angle
- K5 :
-
Change in Vt with change in rotor angle for constant \( E{{\prime}}_{q}\)
- K6 :
-
Change in Vt with change in \( E{{\prime}}_{q}\) constant rotor angle
Appendix C
The system data are as follows:
Machine (p.u):
Transmission line (p.u):
Exciter:
Nominal Operating point:
Others
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Aboelela, M.A., Soliman, H.M. (2017). Towards a Robust Fractional Order PID Stabilizer for Electric Power Systems. In: Azar, A., Vaidyanathan, S., Ouannas, A. (eds) Fractional Order Control and Synchronization of Chaotic Systems. Studies in Computational Intelligence, vol 688. Springer, Cham. https://doi.org/10.1007/978-3-319-50249-6_9
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