Title :
Automatic Voltage Regulator (AVR) design with Chaotic Particle Swarm Optimization
Author :
Gozde, Haluk ; Taplamacioglu, M. Cengiz ; Ari, Murat
Author_Institution :
Electr.&Electron. Eng. Dept., Gazi Univ., Ankara, Turkey
Abstract :
In this study, an artificial intelligence based optimization method is applied to optimize the gains of PID controller for Automatic Voltage Regulator (AVR) system. A dynamic performance of the controller which is optimized with Chaotic Particle Swarm Optimization (CPSO) algorithm is compared with the results which are obtained with standard Particle Swarm Optimization (PSO). The transient response analysis is used in order to determine the performances of the methods.
Keywords :
chaos; particle swarm optimisation; power grids; power system control; three-term control; transient response; voltage regulators; AVR system; CPSO; PID controller gain optimization; artificial intelligence based optimization method; automatic voltage regulator design; chaotic particle swarm optimization; electric power grid; power system control; transient response analysis; Algorithm design and analysis; Artificial intelligence; Chaos; Particle swarm optimization; Regulators; Voltage control; Automatic Voltage Regulator; Chaotic Particle Swarm Optimization; Transient Analysis;
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
Print_ISBN :
978-1-4799-5478-0
DOI :
10.1109/ECAI.2014.7090158
