Title :
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
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;
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
DOI :
10.1109/PECON.2008.4762448
