DocumentCode :
1629818
Title :
Power system stabilization using brain emotional learning based intelligent controller
Author :
Bijami, Ehsan ; Jadidoleslam, Morteza ; Ebrahimi, Akbar ; Farsangi, Malihe M. ; Lee, Kwang Y.
Author_Institution :
Dept. of Electr. & Comput., Isfahan Univ. of Technol. (IUT), Isfahan, Iran
fYear :
2011
Firstpage :
1
Lastpage :
7
Abstract :
In this paper two Brain Emotional Learning Based Intelligent Controllers (BELBIC) are used as two coordinated power system stabilizers (PSSs) for damping the power system inter-area oscillations. The BELBIC is a new type of intelligent controller based on emotion processing mechanism in the brain. To illustrate the capability of the proposed approach, the numerical results are presented on a 2-area 4-machine system. To show the effectiveness of the designed controllers different faults are plied. The simulation studies show that the designed controllers have good capability in damping the power system low frequency oscillations.
Keywords :
control system synthesis; damping; intelligent control; learning (artificial intelligence); oscillations; power system stability; 2-area 4-machine system; BELBIC; brain emotional learning; emotion processing mechanism; intelligent controller; power system interarea oscillation; power system low frequency oscillation; power system stabilization; Computational modeling; Damping; Generators; Learning systems; Oscillators; Power system stability; Brain emotional learning based intelligent controller (BELBIC); Low-frequency oscillations; power system stabilization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2011.6039545
Filename :
6039545
Link To Document :
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