Investigation of 2DOF FOPI controller for synchronous generator voltage stability

Document Type : Research Paper

Authors

Faculty of Electrical Engineering and Computer, Hakim Sabzevari University, Sabzevar, Iran

Abstract

Voltage instability is one of the basic problems in power systems that have always been considered. This instability occurs when a disturbance, increased usage, or change in system condition causes a progressive and uncontrollable drop in voltage. In order to achieve voltage stability, tools such as s In the generator, one of the reliable methods is to use the automatic voltage regulator (AVR) system. In fact, each AVR needs to maintain the reactive power of the synchronous generator at the demand level, stable voltage and frequency of the power sources. hunt capacitors and power electronic equipment, etc., were introduced. In this research, the effectiveness of the control scheme based on proportional-integral fractional order (FOPI) controller for automatic voltage regulation (AVR) system is presented. In this study, a 2DOF FOPI controller is proposed that deviates from the standard integer order to show the superiority of the additional degrees of freedom in the network and controller structure. To improve the performance of AVR, an particle swarm optimization algorithm (PSO) is proposed to adjust the parameters. This method achieves significant robustness to system parameter perturbations and perturbation discontinuities. In the staircase response analysis, it is observed that the settling time and overshoot of the system can be reduced compared to the recently published designs. Various analyzes have shown that the proposed controller is superior to the PI controller in terms of robustness.

Keywords

[1] M. Araki, On two-degree-of-freedom PID control system, SICE Research Committee on Modelling and Control Design of Real Systems, 984 (1984).
[2] M.S. Ayas and E. Sahin, FOPID controller with fractional filter for an automatic voltage regulator, Comput. Electr. Eng. 90 (2021), p. 106895.
[3] H.O. Bansal, R. Sharma and P.R. Shreeraman, PID controller tuning techniques: A review, J. Control. Eng. Technol. 2 (2012), no. 4, 168–176.
[4] F. Cameron and D.E. Seborg, A self-tuning controller with a PID structure, IFAC Proc. 16 (1983), no. 1, 613–622.
[5] S.B. Chiranjeevi, Implementation of fractional order PID controller for an AVR system using GA and ACO optimization techniques, IFAC-PapersOnLine 4 (2016), no. 1, 456–461.
[6] I. Eke, M. Saka, H. Gozde, Y. Arya and M.C. Taplamacioglu, Heuristic optimization based dynamic weighted state feedback approach for 2DOF PI-controller in automatic voltage regulator, Eng. Sci. Tech. Int. J. 24 (2021), no. 4, 899–910.
[7] O.I. Elgard, Electric energy systems theory, New York: McGraw-Hill, 1982.
[8] Z.L. Gaing, A particle swarm optimization approach for optimum design of PID controller in AVR system, IEEE Trans. Energy Convers. 19 (2004), no. 2, 348–391.
[9] M. Gheisarnejad and M.H. Khooban, Design an optimal fuzzy fractional proportional integral derivative controller with derivative filter for load frequency control in power systems, Trans. Inst. Measur. Control 41 (2019), no. 9, 2563–2581.
[10] H. Gozde, Robust 2DOF state-feedback PI-controller based on meta-heuristic optimization for automatic voltage regulation system, ISA Trans. 98 (2020), 26–36.
[11] J. Kennedy and R. Eberhart, Particle swarm optimization, In Proceedings of ICNN’95-international conference on neural networks, IEEE 4 (1995), 1942–1948.
[12] A. Mandali, L. Dong and A. Morinec, Robust controller design for automatic voltage regulation, Amer. Control Conf. (ACC), 2020, pp. 2617–2622.
[13] U. Mehta, V. Lechappe and O.P. Singh, Simple FOPI tuning method for real-order time delay systems, in: Advances in systems, control and automation, Springer, 2018.
[14] A.M. Mosaad, M.A. Attia and A.Y. Abdelaziz, Whale optimization algorithm to tune PID and PIDA controllers on AVR system, Ain Shams Eng. J. 10 (2019), no. 4, 755–767.
[15] I. Moschos and C. Parisses, A novel optimal P IλDND2N2 controller using coyote optimization algorithm for an
AVR system, Eng. Sci. Tech. Int. J. 26 (2022), 100991.
[16] R.H. Ord´o˜nez-Hurtado, Aplicaci´on de la t´ecnica PSO a la determinaci´on de funciones de Lyaunov cuadr´aticas comunes y a sistemas adaptables basados en modelos de error, Ph.D. Thesis, Departamento de Ingenier´ıa El´ectrica, Universidad De Chile, 2012.
[17] V. Rajinikanth and S.C. Satapathy, Design of controller for automatic voltage regulator using teaching learning based optimization, Proc. Technol. 21 (2015), 295–302.
[18] A. Sikander, P. Thakur, R. Bansal and S. Rajasekar, A novel technique to design cuckoo search based FOPID controller for AVR in power systems, Comput. Electr. Eng. 70 (2018), 261–274.
[19] R. Vilanova, V.M. Alfaro and O. Arrieta, Simple robust autotuning rules for 2-DoF PI controllers, ISA Trans. 51 (2012), 30–41.
[20] M. Zamani, M. Karimi-Ghartemani, N. Sadati and M. Parniani, Design of a fractional order PID controller for an AVR using particle swarm optimization, Control Eng. Pract. 17 (2009), no. 12, 1380–1387.
Volume 14, Issue 4
April 2023
Pages 323-331
  • Receive Date: 06 July 2022
  • Revise Date: 18 August 2022
  • Accept Date: 30 September 2022