A new PSS tuning technique using ICA and PSO methods with the fourier transform

Author

Rafiee, Zahra ; Ganjefar, Soheil ; Fattahi, Abas

Author_Institution

Electr. Dept., Bu Ali Sina Univ., Hamedan, Iran

fYear

2010

fDate

11-13 May 2010

Firstpage

806

Lastpage

811

Abstract

In power system, the application of the power system stabilizer (PSS) has been proved to lead to the stability of power system. It is necessary to determine the appropriate PSS parameters. In this paper, a new cost function is presented for the tuning of PSS parameters. Optimization of PSS parameters has been done by Particle Swarm Optimization and Imperialist Competitive Algorithm. The power plant system that is simulated in this paper is one machine to infinite bus system. The responses are compared with CPSS. The responses PSO-PSS and ICA-PSO are also compared with each other and the efficiency of the new objective function (SMVS-DFT) will be proved.

Keywords

Discrete Fourier transforms; Fourier transforms; Independent component analysis; Particle swarm optimization; Power system dynamics; Power system modeling; Power system reliability; Power system simulation; Power system stability; Power system transients; Imperialist Competitive Algorithm (ICA); Particle Swarm Optimization (PSO); Power System Stabilizer (PSS); Samples Magnitude Values Sum in Discrete Fourier transform DFT (SMVS-DFT);

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2010 18th Iranian Conference on

Conference_Location

Isfahan, Iran

Print_ISBN

978-1-4244-6760-0

Type

conf

DOI

10.1109/IRANIANCEE.2010.5506964

Filename

5506964