CFP last date
20 December 2024
Reseach Article

Wind Energy Power System Stabilizer Design using H∞ Robust Technique based on Enhance ABC Optimal Power System

by R. Sakthivel, M. Arun
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 11
Year of Publication: 2016
Authors: R. Sakthivel, M. Arun
10.5120/ijca2016911626

R. Sakthivel, M. Arun . Wind Energy Power System Stabilizer Design using H∞ Robust Technique based on Enhance ABC Optimal Power System. International Journal of Computer Applications. 149, 11 ( Sep 2016), 42-51. DOI=10.5120/ijca2016911626

@article{ 10.5120/ijca2016911626,
author = { R. Sakthivel, M. Arun },
title = { Wind Energy Power System Stabilizer Design using H∞ Robust Technique based on Enhance ABC Optimal Power System },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 11 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 42-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number11/26045-2016911626/ },
doi = { 10.5120/ijca2016911626 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:32.122836+05:30
%A R. Sakthivel
%A M. Arun
%T Wind Energy Power System Stabilizer Design using H∞ Robust Technique based on Enhance ABC Optimal Power System
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 11
%P 42-51
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Power system stabilizers (PSS) are now regularly used in the industry to damp out power system oscillations. High performance excitation system have become very important as limited generation capacity and consumer desires for power continue to increase. In this work, enhanced Artificial Bee Colony (ABC) technique is applied to design a robust power system stabilizer (PSS) in order to improve transient and dynamic stabilities of a turbo-alternator connected to an infinite bus system. The design problem of the proposed controller is formulated as an optimization problem and enhanced ABC is employed to search for optimal controller parameters. The robust power system stabilizer (RPSS) is designed using enhanced ABC for designing the controllers for dynamical systems in electrical engineering. Comparisons are also made between the Conventional power system stabilizer with a strong action (CPSS) and PSS with H∞ optimization. The simulation results show the effectiveness of proposed method for a stabilizer by enhancing the performance and robustness.

References
  1. P.Kundur, “Power system stability and control” New York: Tata McGraw-Hill, 1994.
  2. M. A. Abido, “Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing” Electrical Power and Energy Systems, Vol-22, pp 543–554, 2000.
  3. Y.L. Abdel-Magid, M.A. Abido, “Coordinated design of a PSS and a SVC-based controller to enhance power system stability. Electrical Power & Energy Syst, Vol. 25, pp. 695-704, 2003.
  4. P. M. Anderson and A. A. Fouad, Power System Control and Stability. Ames, IA: Iowa State Univ. Press, 1977.
  5. P. W. Sauer and M. A. Pai, Power System Dynamics and Stability. Englewood Cliffs, NJ: Prentice–Hall, 1998.
  6. F. P. deMello and C. Concordia, “Concepts of synchronous machine stability as affected by excitation control,”IEEE Trans. Power App. Syst., Vol. PAS–88, pp. 316–329, 1969.
  7. D. Xia and G. T. Heydt, “Self-tuning controller for generator excitation control,”IEEE Trans. Power App. Syst., pp. 1877–1885, 1983.
  8. Y. Cao, L. Jiang, S. Cheng, D. Chen, O. P. Malik, and G. S. Hope, “A nonlinear variable structure stabilizer for power system stability,”IEEETrans. Energy Conversion, Vol. 9, pp. 489–495, Sept. 1994.
  9. T. Hiyama and T. Sameshima, “Fuzzy logic control scheme for on-line stabilization of multimachine power system,”Fuzzy Sets Sys., Vol. 39,pp. 181–194, 1991.
  10. M. A. Abido and Y. L. Abdel-Magid, “A hybrid neuro-fuzzy power system stabilizer for multimachine power systems,”IEEE Trans. PowerSyst., Vol. 13, pp. 1323–1330, Nov. 1998.
  11. “Hybridizing rule-based power system stabilizers with genetic algorithms,”IEEE Trans. Power Syst., Vol. 14, pp. 600–607, May 1999.
  12. G.Y.Rajaa Vikhram, S.Latha, “Design of Power System Stabilizer for Power System Damping Improvement with Multiple Design Requirements”, International Journal of Soft Computing and Engineering (IJSCE).
  13. Horch, A, Naceri, A ,Ayad, A, “Power system stabilizer design using H∞ robust technique to enhance robustnesse of power system”, Renewable and Sustainable Energy Conference (IRSEC), 2014 International.
  14. Karaboga, D. An idea based on honey bee swarm for numerical optimization. Technical Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
  15. Karaboga D, Basturk B. Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems, Advances in Soft Computing: Foundations of Fuzzy Logic and Soft Computing,Vol 4529/2007 of LNCS: 789-798, Springer, Berlin.
  16. Karaboga, D., Basturk, B., Ozturk, C. Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks, Modeling Decisions for Artificial Intelligence, Vol 4617/2007 of LNCS: 318-319, Springer, Berlin.
  17. Karaboga, D., Akay,B., A Comparative Study of Artificial Bee Colony Algorithm, Applied Mathematics and Computation, Vol. 214, 108-132, Elsevier, Netherlands 2009.
  18. Karaboga, D., Ozturk, C., Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, Vol.19 (3), 279-292, Institute of Computer Science AS CR, v. v. i., Czech Republic 2009.
  19. Karaboga, N., A new design method based on artificial bee colony algorithm for digital IIR filters, Journal of Franklin Institute, Vol.346 (4): 328-348, Elsevier, Netherlands 2009.
  20. Singh, A., An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem, Applied Soft Computing, Vol.9 (2), 625-631, Elsevier, Netherlands 2009.
  21. Kang, F., Li, J., Xu, Q., Structural inverse analysis by hybrid simplex artificial bee colony algorithms, Computers & Structures, Vol.87 (13:14), 861-870, Elsevier, Netherlands 2009.
  22. Karaboga, D., Ozturk, C., A novel clustering approach: Artificial Bee Colony (ABC) algorithm, Applied Soft Computing, Elsevier, Netherlands, In Press 2010.
  23. Omkar, S.N., Senthilnath, J. , Khandelwal, R., Narayana Naik, G., Gopalakrishnan, S., Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures, Applied Soft Computing, Elsevier, Netherlands, In Press 2010.
  24. Pan, Q-K. Tasgetiren, M. F., Suganthan; P. N., T. Chua, J., A Discrete Artificial Bee Colony Algorithm for the Lot-streaming Flow Shop Scheduling Problem, Information Sciences, Elsevier, Netherlands, In Press 2010.
  25. Xu, C., Duan, H., Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft, Pattern Recognition Letters, Elsevier, Netherlands, In Press 2010.
  26. Georgios Tsourakis,Sotirios Nanou,Costas Vournas, “A Power System Stabilizer for Variable-Speed Wind Generators” , International Federation of Automatic Control (IFAC).
  27. Oriol Gomis-Bellmunt, Fernando Bianchi, Andreas Sumper, “Power System Stabilizer Control for Wind Power to Enhance Power System Stability”.
  28. C. Martinez, I.Kamwa, G. Joos, “Design and Integration of Power System Stabilizers in Wind Farms”, CIGRE Canada Conference on Power Systems, At Toronto, Canada, Vol. pp.1-14.
Index Terms

Computer Science
Information Sciences

Keywords

Stability of Synchronous Machines Robust Control Power System Stabilizer (PSS) Stability and Robustness Artificial Bee Colony (ABC)