DocumentCode :
658078
Title :
Multi objective genetic algorithm controller´s tuning for non-linear automatic voltage regulator
Author :
Khedr, Shaimaa F. Mohamed ; Ammar, Mohammed E. ; Hassan, M. A. Moustafa
Author_Institution :
Electr. Power & Machines Eng. Dept., Cairo Univ., Giza, Egypt
fYear :
2013
fDate :
6-8 May 2013
Firstpage :
857
Lastpage :
863
Abstract :
The voltage regulator is the intelligence of the system and controls the output of the exciter so that the generated voltage and reactive power change in the desired way. In most modern systems the automatic voltage regulator (AVR) is a controller that senses the generator output voltage (and sometimes the current) then initiates corrective action by changing the exciter control in the desired direction. The speed of the automatic voltage regulator is of great interest in studying stability. Because of the high inductance in the generator field winding, it is difficult to make rapid changes in field current. This introduces a considerable lag in the control function and is one of the major obstacles to be overcome in designing a regulating system.
Keywords :
electric generators; fuzzy control; genetic algorithms; inductance; machine windings; reactive power control; stability; tuning; voltage regulators; AVR; generator field winding; inductance; multiobjective genetic algorithm controller tuning; nonlinear automatic voltage regulator; reactive power; Fuzzy logic; Genetic algorithms; Mathematical model; Power systems; Regulators; Voltage control; ANFIS; AVR; FuzzyLogic; Genetic Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5547-6
Type :
conf
DOI :
10.1109/CoDIT.2013.6689655
Filename :
6689655
Link To Document :
بازگشت