Tuning of power system stabilizers using particle swarm optimization with passive congregation

Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, S. P. Ghoshal

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Power System Stabilizers (PSSs) are the most well-known and efficient devices to damp the power system oscillations caused by interruptions. This paper introduces a novel algorithm to determine the PSS parameters, using the multi-objective optimization approach called particle swarm optimization with the passive congregation (PSOPC). The tuning of the PSS parameters is usually formulated as the objective function with constraints, including the damping ratio and damping factor. Maximization of the damping factor and the damping ratio of power system modes are taken as the goals or two objective functions, when designing the PSS parameters. The optimization procedure handles the problem-specific constraints using a penalty function. This could enhance the diversity of the swarm and lead to a better outcome. The two-area multi-machine power system, under a wide range of system configurations and operation conditions is investigated, to illustrate the performance of the proposed approach. In this paper, the performance of the proposed PSOPC is compared to the Standard Particle Swarm Optimization (SPSO) and Genetic Algorithm (GA) in terms of parameter accuracy and computational time. The results verify that, the PSOPC is a much better optimization technique, in terms of accuracy and convergence, compared to PSO and GA. Furthermore, nonlinear simulation and eigenvalue analysis based results also confirm the efficiency of the proposed technique.

Original languageEnglish
Pages (from-to)2574-2589
Number of pages16
JournalInternational Journal of Physical Sciences
Volume5
Issue number17
Publication statusPublished - Dec 2010

Fingerprint

Particle swarm optimization (PSO)
Tuning
tuning
Damping
optimization
damping
Genetic algorithms
genetic algorithms
Multiobjective optimization
penalty function
interruption
eigenvalues
oscillations
configurations
simulation

Keywords

  • Design power system stabilizers (PSS)
  • Particle swarm optimization
  • Passive congregation
  • Penalty function

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Electronic, Optical and Magnetic Materials

Cite this

Tuning of power system stabilizers using particle swarm optimization with passive congregation. / Eslami, Mahdiyeh; Shareef, Hussain; Mohamed, Azah; Ghoshal, S. P.

In: International Journal of Physical Sciences, Vol. 5, No. 17, 12.2010, p. 2574-2589.

Research output: Contribution to journalArticle

Eslami, Mahdiyeh ; Shareef, Hussain ; Mohamed, Azah ; Ghoshal, S. P. / Tuning of power system stabilizers using particle swarm optimization with passive congregation. In: International Journal of Physical Sciences. 2010 ; Vol. 5, No. 17. pp. 2574-2589.
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