Title :
Load frequency control of interconnected power system using brain emotional learning based intelligent controller
Author :
Bijami, Ehsan ; Abshari, R. ; Saghaiannejad, S.M. ; Askari, Javad
Author_Institution :
Dept. of Electr. & Comput., Isfahan Univ. of Technol., Isfahan, Iran
Abstract :
In this paper the brain emotional learning based intelligent controller (BELBIC) is used for solution the load frequency control (LFC) problem. The BELBIC is a new type of intelligent controller based on emotion processing mechanism in the brain. The frequency deviation of the system is directly utilized to tune the controller parameters. To illustrate the capability of the proposed approach, the numerical results are presented on a two-area interconnected power system. The obtained results of the proposed method compare to those by conventional PI controller show its robustness with a satisfactory response in the presence of system parameters variations.
Keywords :
brain; control engineering computing; frequency control; intelligent control; learning (artificial intelligence); load regulation; power engineering computing; power system control; power system interconnection; BELBIC; LFC problem; PI controller; brain emotional learning based intelligent controller; controller parameter; emotion processing mechanism; frequency deviation; interconnected power system; load frequency control problem; system parameter variation; Brain Emotional Learning Based Intelligent Controller (BELBIC); Load frequency control;
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8