Multi-Agent-Based Particle Swarm Optimization Approach for PSS designing in multi-machine power systems

Author

Kargar, H. Kazemi ; Aghmasheh, R. ; Safari, A. ; Govar, G. R Zareie

Author_Institution

Dept. of Electr. Eng., Shahid Beheshti Univ., Tehran

fYear

2008

fDate

1-3 Dec. 2008

Firstpage

73

Lastpage

78

Abstract

In this paper the design of multi-machine power system stabilizers (PSSs) by using multi-agent particle swarm optimization (MAPSO) is presented. The optimum parameters of PSSs will be obtained by MAPSO and the results will be compared with PSO algorithm which eigenvalue analysis is used for comparison. The aim of the optimization problem is to shift electro-mechanical modes of all machines to the left side of the s-plane as far as possible with considering stability. The proposed method is confirmed by obtained simulation results of a three-machine power system under different operating conditions.

Keywords

eigenvalues and eigenfunctions; multi-agent systems; particle swarm optimisation; power engineering computing; power system dynamic stability; MA-based particle swarm optimization; PSS; dynamic stability; eigenvalue analysis; electromechanical mode shifting; multiagent-based PSO; multimachine power system stabilizer design; three-machine power system simulation; Design engineering; Eigenvalues and eigenfunctions; Particle swarm optimization; Power engineering and energy; Power engineering computing; Power system analysis computing; Power system dynamics; Power system simulation; Power system stability; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International

Conference_Location

Johor Bahru

Print_ISBN

978-1-4244-2404-7

Electronic_ISBN

978-1-4244-2405-4

Type

conf

DOI

10.1109/PECON.2008.4762448

Filename

4762448