Open AccessA Power System Stabilizer for Multi-Machine Power Based on Hybrid BF0A-PSO
Author(s) -
M. Saranya,
A. Rajapandiyan,
Rani Fathima Kamal Basha,
S. Hema,
S Geethapriya,
S. Saravanan
Publication year - 2015
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v5i2.pp213-220
Subject(s) - particle swarm optimization , stabilizer (aeronautics) , control theory (sociology) , electric power system , computer science , controller (irrigation) , power (physics) , stability (learning theory) , range (aeronautics) , swarm behaviour , engineering , algorithm , artificial intelligence , control (management) , physics , mechanical engineering , biology , aerospace engineering , agronomy , quantum mechanics , machine learning
Bacterial Swarm Optimization (BSO) is used to design Power System Stabilizers in a multi machine power system. In BSO, the search directions of tumble behavior for each bacterium are oriented by the individual’s best location and the global best location of PSO. The hybrid BFOA-PSO algorithm has been applied to IEEE 14 bus test system under normal, light and heavy load conditions. Simulations results have revealed the strength of the BSO in tuning Power System Stabilizers under normal, light and heavy load conditions. The results present the effectiveness of the controller to improve the power system stability over a different range of loading conditions.