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Reaching phase free adaptive fuzzy synergetic power system stabilizer

Authors :
Abdelaziz Hamzaoui
Najib Essounbouli
M. N. Harmas
Kamel Saoudi
Z. Bouchama
Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC)
Université de Reims Champagne-Ardenne (URCA)
Mathématiques pour l'Industrie et la Physique (MIP)
Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse)
Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)
Université Toulouse Capitole (UT Capitole)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse)
Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)
Source :
International Journal of Electrical Power and Energy Systems, International Journal of Electrical Power and Energy Systems, Elsevier, 2016, 77, pp.43-49. ⟨10.1016/j.ijepes.2015.11.017⟩, International Journal of Electrical Power & Energy Systems, International Journal of Electrical Power & Energy Systems, 2016, 77, pp.43-49. ⟨10.1016/j.ijepes.2015.11.017⟩
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

In this paper, an adaptive fuzzy power system stabilizer is developed based on robust synergetic control theory and terminal attractor techniques. The main contribution consists in making the dynamic system insensitive to parameters variation. This aim is achieved using a new synergetic controller design such that power system states start, evolve and remain on a designer chosen attractor toward the equilibrium point therefore avoiding transient mode. Rendering the design more robust, fuzzy logic systems are used to approximate the unknown power system dynamic functions without calling upon usual model linearization and simplifications. Based on an indirect adaptive scheme and Lyapunov theory, adaptation laws are developed to make the controller handle parameters variations due to the different operating conditions occurring on the power system and to guarantee stability. The performance of the proposed stabilizer is evaluated for a single machine infinite bus system and for a multi machine power system under different type of disturbances. Simulation results show the effectiveness and robustness of the proposed stabilizer in damping power system oscillations under various disturbances and better overall performance than classical PSS and some other types of power stabilizers.

Details

Language :
English
ISSN :
01420615
Database :
OpenAIRE
Journal :
International Journal of Electrical Power and Energy Systems, International Journal of Electrical Power and Energy Systems, Elsevier, 2016, 77, pp.43-49. ⟨10.1016/j.ijepes.2015.11.017⟩, International Journal of Electrical Power & Energy Systems, International Journal of Electrical Power & Energy Systems, 2016, 77, pp.43-49. ⟨10.1016/j.ijepes.2015.11.017⟩
Accession number :
edsair.doi.dedup.....a8aef148533cb60397e005febf720d10
Full Text :
https://doi.org/10.1016/j.ijepes.2015.11.017⟩