Design of Power System Stabilizer Using Immune Algorithm

Author

Kyanzadeh, Saeid ; Farsangi, Malihe M. ; Nezamabadi-Pour, Hossein ; Lee, Kwang Y.

Author_Institution

Shahid Bahonar Univ. of Kerman, Kerman

fYear

2007

fDate

5-8 Nov. 2007

Firstpage

1

Lastpage

6

Abstract

This paper investigates the ability of immune algorithm (IA) in designing power system stabilizer (PSS) to damp the power system inter-area oscillation. For this the parameters of the PSS are determined by IA using a phase-based objective function. The numerical results are presented on a 2- area 4-machine system to illustrate the feasibility of the proposed method. To show the effectiveness of the designed PSSs, a three phase fault is applied. The simulation study shows that the designed PSSs improve the stability of the system. Also, to validate the results obtained by IA, a simple genetic algorithm (GA) is applied for comparison.

Keywords

genetic algorithms; power system control; power system stability; dynamic stability; electromechanical oscillations; genetic algorithm; immune algorithm; power system inter-area oscillation; power system stabilizer; Algorithm design and analysis; Damping; Genetic algorithms; Power system dynamics; Power system economics; Power system interconnection; Power system security; Power system simulation; Power system stability; Power systems; Immune algorithm; dynamic stability; electromechanical oscillations; genetic algorithm; inter-area oscillation; power system stabilizer;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on

Conference_Location

Toki Messe, Niigata

Print_ISBN

978-986-01-2607-5

Electronic_ISBN

978-986-01-2607-5

Type

conf

DOI

10.1109/ISAP.2007.4441650

Filename

4441650