STRUCTURED H∞ CONTROL BASED ROBUST POWER SYSTEM STABILIZER FOR STABILITY OF MULTI-MACHINE SYSTEM

Authors

  • ABDESELEM KHELLOUFI Electrical Engineering Department, University of Setif 1, Algeria Author
  • BILAL SARI Electrical Engineering Department, University of Setif 1, Algeria Author
  • SEIF EDDINE CHOUABA DAC Laboratory, University of Setif 1, Algeria Author

DOI:

https://doi.org/10.59277/RRST-EE.2024.1.16

Keywords:

Multi-machine system, Power system stabilizer

Abstract

A robust design of power system stabilizers (PSSs) using H output feedback control has been introduced in this work. To facilitate the implementation of the designed PSSs, the proposed technique employs the H to tune the fixed-structure conventional lead-lag PSS parameters of the multi-machine system. These PSSs are used to improve the damping of the local and inter-area low-frequency oscillations in power systems under different operating conditions. The proposed control is tested on a multi-machine system, which is a three-machine nine-bus system. A comparative simulation study shows a significant enhancement and good performance of the proposed design compared to an IEEE conventional power system stabilizer.

References

(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).

Downloads

Published

01.04.2024

Issue

Section

Automatique et ordinateurs | Automation and Computer Sciences

How to Cite

STRUCTURED H∞ CONTROL BASED ROBUST POWER SYSTEM STABILIZER FOR STABILITY OF MULTI-MACHINE SYSTEM. (2024). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 69(1), 91-96. https://doi.org/10.59277/RRST-EE.2024.1.16