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The Scientific World Journal
Volume 2014, Article ID 549094, 8 pages
http://dx.doi.org/10.1155/2014/549094
Research Article

Comparative Study of Popular Objective Functions for Damping Power System Oscillations in Multimachine System

1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bnagi, Selangor, Malaysia
2Electrical and Electronic Engineering Program, Faculty of Engineering, Institut Teknologi Brunei (Engineering and Technology University), Jalan Tungku Link, Gadong BE1410, Brunei Darussalam

Received 24 February 2014; Accepted 19 March 2014; Published 6 April 2014

Academic Editors: N. Barsoum, P. Vasant, and G.-W. Weber

Copyright © 2014 Naz Niamul Islam et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. P. Kundur, Power System Stability and Control, McGraw-Hill, 1994.
  2. G. Rogers, Power System Oscillations, Kluwer Academic, 2000.
  3. P. Kundur, M. Klein, G. J. Rogers, and M. S. Zywno, “Application of power system stabilizers for enhancement of overall system stability,” IEEE Transactions on Power Systems, vol. 4, no. 2, pp. 614–626, 1989. View at Publisher · View at Google Scholar · View at Scopus
  4. M. A. Hannan and K. W. Chan, “Transient anlysis of FACTS and custom power devices using phasor dynamics,” Journal of Applied Sciences, vol. 6, no. 5, pp. 1074–1081, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. M. A. Abido, “Parameter optimization of multimachine power system stabilizers using genetic local search,” International Journal of Electrical Power & Energy Systems, vol. 23, no. 8, pp. 785–794, 2001. View at Publisher · View at Google Scholar · View at Scopus
  6. M. A. Abido, “Novel approach to conventional power system stabilizer design using tabu search,” International Journal of Electrical Power & Energy Systems, vol. 21, no. 6, pp. 443–454, 1999. View at Publisher · View at Google Scholar · View at Scopus
  7. Y. L. Abdel-Magid, M. A. Abido, and A. H. Mantawy, “Robust tuning of power system stabilizers in multimachine power systems,” IEEE Transactions on Power Systems, vol. 15, no. 2, pp. 735–740, 2000. View at Publisher · View at Google Scholar · View at Scopus
  8. H. E. Mostafa, M. A. El-Sharkawy, A. A. Emary, and K. Yassin, “Design and allocation of power system stabilizers using the particle swarm optimization technique for an interconnected power system,” International Journal of Electrical Power & Energy Systems, vol. 34, no. 1, pp. 57–65, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. M. M. Linda and N. K. Nair, “A new-fangled adaptive mutation breeder genetic optimization of global multi-machine power system stabilizer,” International Journal of Electrical Power & Energy Systems, vol. 44, no. 1, pp. 249–258, 2013. View at Google Scholar
  10. L.-J. Cai and I. Erlich, “Simultaneous coordinated tuning of PSS and FACTS damping controllers in large power systems,” IEEE Transactions on Power Systems, vol. 20, no. 1, pp. 294–300, 2005. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. L. Abdel-Magid and M. A. Abido, “Optimal multiobjective design of robust power system stabilizers using genetic algorithms,” IEEE Transactions on Power Systems, vol. 18, no. 3, pp. 1125–1132, 2003. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Alkhatib and J. Duveau, “Dynamic genetic algorithms for robust design of multimachine power system stabilizers,” International Journal of Electrical Power & Energy Systems, vol. 45, no. 1, pp. 242–251, 2013. View at Google Scholar
  13. M. M. Farsangi, S. Kyanzadeh, S. Haidari, and H. Nezamabadi-pour, “Coordinated control of low-frequency oscillations using real immune algorithm with population management,” Energy Conversion and Management, vol. 51, no. 2, pp. 271–276, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. S. M. Abd-Elazim and E. S. Ali, “A hybrid particle swarm optimization and bacterial foraging for optimal power system stabilizers design,” International Journal of Electrical Power & Energy Systems, vol. 46, pp. 334–341, 2013. View at Google Scholar
  15. H. Shayeghi, H. A. Shayanfar, S. Jalilzadeh, and A. Safari, “Multi-machine power system stabilizers design using chaotic optimization algorithm,” Energy Conversion and Management, vol. 51, no. 7, pp. 1572–1580, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. H. Yassami, A. Darabi, and S. M. R. Rafiei, “Power system stabilizer design using Strength Pareto multi-objective optimization approach,” Electric Power Systems Research, vol. 80, no. 7, pp. 838–846, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. A. Khodabakhshian and R. Hemmati, “Multi-machine power system stabilizer design by using cultural algorithms,” International Journal of Electrical Power & Energy Systems, vol. 44, no. 1, pp. 571–580, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Eslami, H. Shareef, M. R. Taha, and M. Khajehzadeh, “Adaptive particle swarm optimization for simultaneous design of UPFC damping controllers,” International Journal of Electrical Power & Energy Systems, vol. 57, pp. 116–128, 2014. View at Google Scholar
  19. M. Khaleghi, M. M. Farsangi, H. Nezamabadi-Pour, and K. Y. Lee, “Pareto-optimal design of damping controllers using modified artificial immune algorithm,” IEEE Transactions on Systems, Man and Cybernetics C: Applications and Reviews, vol. 41, no. 2, pp. 240–250, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. P. Civicioglu, “Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithm,” Computers & Geosciences, vol. 46, pp. 229–247, 2012. View at Publisher · View at Google Scholar · View at Scopus