Optimal design of damping controllers using a new hybrid artificial bee colony algorithm

Mahdiyeh Eslami, Hussain Shareef, Mohammad Khajehzadeh

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)


This paper integrates the artificial bee colony (ABC) algorithm with the sequential quadratic programming (SQP) to create the new hybrid optimization algorithm, ABC-SQP, for solving global optimization problems and damping of low frequency oscillations in power system stability analyses. The new algorithm combines the global exploration ability of ABC to converge rapidly to a near optimum solution and the accurate local exploitation ability of SQP to accelerate the search process and find an accurate solution. A set of well-known benchmark optimization problems is used to validate the performance of the ABC-SQP as a global optimization algorithm and to facilitate a comparison with the classical ABC. Numerical experiments demonstrate that the hybrid algorithm converges faster to a significantly more accurate final solution for a variety of benchmark test functions. Power system stabilizers and supplementary static VAR compensator controllers are designed for two-area-four-machine and five-area-sixteen-machine systems to illustrate the feasibility and effectiveness of the new method in power systems. The performance of the proposed ABC-SQP algorithm is compared with the classic ABC and the genetic algorithm (GA) through eigenvalue analysis and nonlinear time-domain simulation. The simulation results indicate that the controllers designed by the ABC-SQP perform better than those designed by ABC and GA.

Original languageEnglish
Pages (from-to)42-54
Number of pages13
JournalInternational Journal of Electrical Power and Energy Systems
Issue number1
Publication statusPublished - 2013
Externally publishedYes


  • Artificial bee colony algorithm
  • Hybrid algorithm
  • Low-frequency oscillation
  • Power system stabilizer
  • Sequential quadratic programming
  • Static
  • VAR compensator

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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