Adaptive particle swarm optimization for simultaneous design of UPFC damping controllers

Mahdiyeh Eslami, Hussain Shareef, Mohd Raihan Taha, Mohammad Khajehzadeh

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)


An adaptive particle swarm optimization based on nonlinear time-varying acceleration coefficients (NTVAC-PSO) is proposed for solving global optimization problems and damping of power system oscillations. The new method aims to control the global exploration ability of the original PSO algorithm and to increase its convergence rate with an acceptable solution in less iteration. A set of 10 well-known benchmark optimization problems is utilized to validate the performance of the NTVAC-PSO as a global optimization algorithm and to compare with similar methods. The numerical experiments show that the proposed algorithm leads to a significantly more accurate final solution for a variety of benchmark test functions faster. In addition, the simultaneous coordinated design of unified power flow controller-based damping controllers is presented to illustrate the feasibility and effectiveness of the new method. The performance of the proposed algorithm is compared with other methods through eigenvalue analysis and nonlinear time-domain simulation. The simulation studies show that the controllers designed using NTVAC-PSO performed better than controllers designed by other methods. Moreover, experimental results confirm superior performance of the new method compared with other methods.

Original languageEnglish
Pages (from-to)116-128
Number of pages13
JournalInternational Journal of Electrical Power and Energy Systems
Publication statusPublished - May 2014
Externally publishedYes


  • Acceleration coefficients
  • Low-frequency oscillation
  • PSO
  • Unified power flow controller

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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