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A variable gain PI to improve the performances of a unified power flow controller system
( Vol-3,Issue-8,August 2017 )


M. Sekour, M. Mankour, Kada Hartani


Improvement, Unified power flow controller (UPFC), Variable gain PI controller


The instability problems in the electrical supply networks have had a great impact on recent research studies on modern devices. The unified power flow controller (UPFC) is one of the various FACTS (Flexible Alternative Current Transmission Sys-tems) devices that allow the electrical supply networks to be stable with a strong effectiveness. In this paper, the performances of such a device using both a classical PI and a variable gains PI controllers are examined. For this instance, the compensator is first stabilized before trying to stabilize the network. A series of comparative simulation tests have been undertaken for both regulators and analyzed. From the obtained results it is clearly shown that when the system is equipped with the variable gain PI regulator, the performance are much better.

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K.Narendra, K. Parthasarathy Identification and control of dynamical systems using neural networks, IEEE Trans. Neural Networks, Vol 1, pp 4-27,(1990).[2] F-C.Chen, Back propagation neural networks for nonlinear self-tuning adaptive control, IEEE Control System Magazine, Special Issue on Neural Networks for control - pp 45-48,(1990).
[3] F-C.Chen, Adaptive control of a class of nonlinear discrete-time systems using neural networks,IEEE Trans. Automatic Control, Vol 40, nº 7, pp 791-801, (1995).
[4] L. Jin et al, Adaptive control of discrete time nonlinear system using recurrent neural networks, IEE Proc. Control Theory Applications, Vol 141, nº 3, (1994).
[6] J. Henriques, A. Dourado,,A Hybrid Neural-Decoupling Pole Placement Controller and its Application , accepted for presentation in ECC99 - 5rd European Control Conference, Karlsruhe, Germany, 31 August – 03 September 1999.
[7] S. Zebirate, A. Chaker, Commande hybride du système UPFC, RS série RIGE. Volume 7- n° 1-2/, pages 75 à 104, (2004).
[8] Sheng-Huei Lee ,Chia-Chi Chu.,Power Flow Models of Unified Power Flow Controllers in Various Operating Modes. IEEE Trans. Power Elect. 0-7803-8110-6/03, (2003).
[9] H. Fujita,Y. Watanabe ,H. Akagi, Dynamic Control and Performance of a Unified Power Flow Controller for Stabilizing an AC Transmission System, IEEE Trans. Power Elect. 21(4): 1013-1020, (2006).
[10] A.Miloudi, Al Radadi, A. Draou,, A Variable Gain PI Controller Used for Speed Control of a Direct Torque Neuro Fuzzy Controlled Induction Machine Drive, Turkish Journal of Electrical Engineering, VOL.15, NO.1, pp. 37-49, (2007).
[11] M.Sekour,A.Chaker,M. Benyahya,S. Zeberate , Deffect of instability in supplay network and improvementwith UPFC and VGPI, AMSE Journal, Association for the Advancement of modeling & Simulation, USTHB, Alger Algeria july 02-05, (2007).
[12] Arup Ratan Bhowmik,Champa Nandi, Implementation of Unified Power Flow Controller (UPFC) for Power Quality Improvement in IEEE 14-Bus System, International Journal of Computer Technology and Aplications, Vol. 2, Issue 6, (2001).