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The Scientific World Journal
Volume 2014, Article ID 549094, 8 pages
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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Naz Niamul Islam, M.A. Hannan, Hussein Shareef, and Azah Mohamad, “Bijective Differential Search Algorithm for Robust Design of Damping Controller in Multimachine Power System,” Applied Mechanics and Materials, vol. 785, pp. 424–428, 2015. View at Publisher · View at Google Scholar
  • Naz Niamul Islam, M. A. Hannan, Azah Mohamed, and Hussain Shareef, “Improved Power System Stability Using Backtracking Search Algorithm for Coordination Design of PSS and TCSC Damping Controller,” Plos One, vol. 11, no. 1, 2016. View at Publisher · View at Google Scholar
  • Naz Niamul Islam, M.A. Hannan, Hussain Shareef, and Azah Mohamed, “An application of backtracking search algorithm in designing power system stabilizers for large multi-machine system,” Neurocomputing, vol. 237, pp. 175–184, 2017. View at Publisher · View at Google Scholar
  • Mahesh Singh, R.N. Patel, and D.D. Neema, “Robust tuning of excitation controller for stability enhancement using multi-objective metaheuristic Firefly algorithm,” Swarm and Evolutionary Computation, 2018. View at Publisher · View at Google Scholar