STABILISATEUR DE SYSTÈME D'ALIMENTATION ROBUSTE BASÉ SUR UN CONTRÔLE H∞ STRUCTURÉ POUR LA STABILITÉ D'UN SYSTÈME MULTI-MACHINE
DOI :
https://doi.org/10.59277/RRST-EE.2024.1.16Mots-clés :
Système multi-machines, Stabilisateur du système d'alimentation, Synthèse structurée de H∞, Contrôle robusteRésumé
Une conception robuste de stabilisateurs de système électrique (PSS) utilisant un contrôle par rétroaction de sortie H∞ a été introduite dans ce travail. Pour faciliter la mise en œuvre des PSS conçus, la technique proposée utilise le H∞ pour ajuster les paramètres PSS avance-retard conventionnels à structure fixe du système multi-machines. Ces PSS sont utilisés pour améliorer l'amortissement des oscillations basse fréquence locales et inter-zones dans les systèmes électriques dans différentes conditions de fonctionnement. Le contrôle proposé est testé sur un système multi-machines, qui est un système à trois machines et neuf bus. Une étude de simulation comparative montre une amélioration significative et de bonnes performances de la conception proposée par rapport à un stabilisateur de système électrique conventionnel IEEE.
Références
(1) P. Kundur, N.J. Balu, M.G. Lauby, Power System Stability and Control, McGraw-hill New York (1994).
(2) A. Sallam, O.P. Malik, Power system stability: modelling, analysis and control, The Institution of Engineering and Technology (2015).
(3) S. Gurung, F. Jurado, S. Naetiladdanon, A. Sangswang, Comparative analysis of probabilistic and deterministic approach to tune the power system stabilizers using the directional bat algorithm to improve system small-signal stability, Electric Power Systems Research, 181 (2020).
(4) ***IEEE Recommended Practice for Excitation System Models for Power System Stability Studies, IEEE Std 421.5-2016 (Revision of IEEE Std 421.5-2005, pp. 1–207 (2016).
(5) K.M. Sreedivya, P.A. Jeyanthy, D. Devaraj, Design of power system stabilizer using sliding mode control technique for low frequency oscillations damping, In 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), Tamilnadu, India, pp. 1–6 (2019).
(6) A. Sabo, N.I. Abdul Wahab, M.L. Othman, M.Z.A Mohd Jaffar, H. Beiranvand, Optimal design of power system stabilizer for multimachine power system using farmland fertility algorithm. International Transactions on Electrical Energy Systems, 30, 12 (2020).
(7) H. Labdelaoui, F. Boudjema, D. Boukhetala, Multiobjective optimal design of dual-input power system stabilizer using genetic algorithms, Roum. Sci. Techn. – Électrotechn. et Énerg., 62, 1, pp. 93–97 (2017).
(8) G. Shahgholian, A. Mohavedi, Coordinated design of thyristor-controlled series capacitor and power system stabilizer controllers using velocity update relaxation particle swarm optimization for two machine power system stability, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 59, 3, pp. 291–301 (2014).
(9) B.M. Alshammari, T. Guesmi, New chaotic sunflower optimization algorithm for optimal tuning of power system stabilizers, Journal of Electrical Engineering & Technology, 15, 5, pp.1985–1997 (2020).
(10) N. Razmjooy, S. Razmjooy, Z. Vahedi, V.V. Estrela, GG. de Oliveira, A new design for robust control of power system stabilizer based on moth search algorithm, Metaheuristics and Optimization in Computer and Electrical Engineering, pp.187–202 (2021).
(11) E.L. Miotto, P.B. de Araujo, E. de Vargas Fortes, B.R. Gamino, L. Martins, Coordinated tuning of the parameters of PSS and POD controllers using bioinspired algorithms, IEEE Transactions on Industry Applications, 54, 4, pp.3845–3857 (2018).
(12) A. Mourad, G. Keltoum, Power system stabilizer based on terminal sliding mode control, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 62, 1, pp. 98–102 (2017).
(13) G. Zhang, W. Hu, D. Cao, Q. Huang, J. Yi, Z. Chen, F. Blaabjerg, Deep reinforcement learning-based approach for proportional resonance power system stabilizer to prevent ultra-low-frequency oscillations, IEEE Transactions on Smart Grid, 11, 6, pp.5260-5272 (2020).
(14) F. Jamsheed, S.J. Iqbal, A minimal architecture neuro adaptive predictive control scheme for power system stabilizer, International Journal of Electrical Power & Energy Systems, 137, (2022).
(15) K.M. Sreedivya, P.A. Jeyanthy, D. Devaraj, Improved design of interval type-2 fuzzy based wide area power system stabilizer for inter-area oscillation damping, Microprocessors and Microsystems, 83, (2021).
(16) P. Sahithya, N. Kumar, Enhancement of Transient Stability of a SMIB System Using Fuzzy Logic-Based Power System Stabilizer, In Recent Advances in Power Systems, Springer Nature Singapore, Singapore, pp. 311–319 (2022).
(17) I. Dehiba, M. Abid, A. Aissaoui, Robust design of power system stabilizer for a single generator-infinite bus power system, Roum. Sci. Techn. – Électrotechn. et Énerg., 66, 4, pp. 249–253 (2021).
(18) F. De Marco, P. Rullo, Damped Nyquist plot for the phase and gain optimization of power system stabilizers, Electric Power Systems Research, 205, (2022).
(19) A. Khelloufi, B. Sari, S.E. Chouaba, H∞ control based robust power system stabilizer for stability enhancement, Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 67, 2, pp.175–180 (2022).
(20) A. Sil, T. Gangopadhyay, S. Paul, A. Maitra, Design of robust power system stabilizer using H∞ mixed sensitivity technique, In 2009 International Conference on Power Systems (IEEE), Kharagpur, India (2009).
(21) S. Barik, A.T. Mathew, March. Design and comparison of power system stabilizer by conventional and robust H∞ loop shaping technique, International Conference on Circuits, Power and Computing Technologies, Nagercoil, India (2014).
(22) P.S. Rao, I. Sen, Robust pole placement stabilizer design using linear matrix inequalities, IEEE Transactions on Power Systems, 15, 1, pp. 313–319 (2000).
(23) P.M. Anderson, A.A. Fouad, Power system control and stability, John Wiley & Sons (2008).
(24) Y.N. Yu, Electric power system dynamics, ACADEMIC PRESS, INC., New York, (1983).
(25) P. Apkarian, D. Noll, Nonsmooth H∞ synthesis, IEEE Transactions on Automatic Control, 51, 1, pp.71–86 (2006).
(26) P. Gahinet, P. Apkarian, Structured H∞ synthesis in MATLAB, IFAC Proceedings Volumes, 44, 1, pp.1435–1440 (2011).
Téléchargements
Publiée
Numéro
Rubrique
Licence
(c) Copyright REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 2024
Ce travail est disponible sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Pas de Modification 4.0 International.
