Title :
HPSO algorithm to design power system stabilizer in multi-machine power system
Author_Institution :
Anar Branch, Islamic Azad Univ., Anar, Iran
fDate :
May 30 2011-June 3 2011
Abstract :
In this article, a new evolutionary algorithm presented in order to optimally design stabilizers of multi-machine power system. This article utilizes Hybrid Particle Swarm Optimization (HPSO) technique to search for optimized amounts of power system stabilizer (PSS). The strength of presented method to create initial amounts was proved. Efficiency and capability of HPSOPSS was tested under different turbulences and loading modes for different multi-machine systems. Data analysis and results of nonlinear simulations, delineated the usefulness of HPSOPSS in damping local and in-area frequency modes; and this coordination has a remarkable effect on execution of loading modes and arrangement of power system. Totally, potential and priority of the presented method in proportion to other common methods was proved.
Keywords :
data analysis; evolutionary computation; particle swarm optimisation; power system stability; HPSO algorithm; PSS design; data analysis; evolutionary algorithm; hybrid particle swarm optimization algorithm; multimachine power system; nonlinear simulation; power system arrangement; power system stabilizer design; Algorithm design and analysis; Generators; Particle swarm optimization; Power system dynamics; Power system stability; Rotors; HPSO; dynamic stability; multi-machinery power system; power system stabilizer;
Conference_Titel :
Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-61284-958-4
Electronic_ISBN :
2150-6078
DOI :
10.1109/ICPE.2011.5944719