Optimal location of PSS using improved PSO with chaotic sequence

Mahdiyeh Eslami, Hussain Shareef, Azah Mohamed, Mohammad Khajehzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

This paper proposed a novel method for the optimal location of the power system stabilizer (PSS) by integrating the improved particle swarm optimization (IPSO) with the chaotic. The modification in the particle swarm optimization (PSO) is made by introducing passive congregation which is an important biological force which preserves swarm integrity. It helps each swarm member in receiving a multitude of information from other members, and thus decreases the possibility of a failed attempt at detection or a meaningless search. Then, the IPSO and chaotic are hybridized (IPSOC), to improve the global searching capacity and prevent the premature convergence due to local minima. Location of PSS over a wide range of system configurations is formulated as a multi-objective function that is the aggregation of the three objectives related to the damping ratio and damping factor, and the number of PSS. The performance of the proposed IPSOC is compared to PSO through nonlinear time-domain simulation. Finally, the proposed method applies to find out the best candidate machines to be equipped with PSSs. The obtained results show that the new method can find the best locations and the optimum PSSs parameters simultaneously with an excellent global damping performance.

Original languageEnglish
Title of host publicationInECCE 2011 - International Conference on Electrical, Control and Computer Engineering
Pages253-258
Number of pages6
DOIs
Publication statusPublished - 2011
Event1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 - Kuantan
Duration: 21 Jun 201122 Jun 2011

Other

Other1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011
CityKuantan
Period21/6/1122/6/11

Fingerprint

Particle swarm optimization (PSO)
Damping
Agglomeration

Keywords

  • Chaotic
  • Passive Congregation
  • PSO
  • PSS

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Eslami, M., Shareef, H., Mohamed, A., & Khajehzadeh, M. (2011). Optimal location of PSS using improved PSO with chaotic sequence. In InECCE 2011 - International Conference on Electrical, Control and Computer Engineering (pp. 253-258). [5953886] https://doi.org/10.1109/INECCE.2011.5953886

Optimal location of PSS using improved PSO with chaotic sequence. / Eslami, Mahdiyeh; Shareef, Hussain; Mohamed, Azah; Khajehzadeh, Mohammad.

InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011. p. 253-258 5953886.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Eslami, M, Shareef, H, Mohamed, A & Khajehzadeh, M 2011, Optimal location of PSS using improved PSO with chaotic sequence. in InECCE 2011 - International Conference on Electrical, Control and Computer Engineering., 5953886, pp. 253-258, 1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011, Kuantan, 21/6/11. https://doi.org/10.1109/INECCE.2011.5953886
Eslami M, Shareef H, Mohamed A, Khajehzadeh M. Optimal location of PSS using improved PSO with chaotic sequence. In InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011. p. 253-258. 5953886 https://doi.org/10.1109/INECCE.2011.5953886
Eslami, Mahdiyeh ; Shareef, Hussain ; Mohamed, Azah ; Khajehzadeh, Mohammad. / Optimal location of PSS using improved PSO with chaotic sequence. InECCE 2011 - International Conference on Electrical, Control and Computer Engineering. 2011. pp. 253-258
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