DocumentCode :
1792200
Title :
Tuning of PID controller of synchronous generators using genetic algorithm
Author :
Mohammed, Naeim Farouk ; Enzhe Song ; Xiuzhen Ma ; Hayat, Qaisar
Author_Institution :
Sch. of Power & Energy Eng., Harbin Eng. Univ., Harbin, China
fYear :
2014
fDate :
3-6 Aug. 2014
Firstpage :
1544
Lastpage :
1548
Abstract :
Control of synchronous generators such as automatic voltage regulators have been developed to maintain stability and to improve damping of power systems. When an operating condition changes greatly, however, such controllers may become less effective because of nonlinearity of the power system. The mathematical model of AVR system has been established for control and analysis using a flexible and fast tuning method based on genetic algorithm (GA) technique. Tuning with different population size and generations number have been used to determine the optimal values of the PID controller parameters to improve the transient response of the system.
Keywords :
control system synthesis; genetic algorithms; synchronous generators; three-term control; AVR system; GA technique; PID controller tuning; automatic voltage regulators; genetic algorithm; power system damping; power system nonlinearity; power system stability; proportional-integral-derivative controller; synchronous generators; transient response; Biological cells; Educational institutions; Genetic algorithms; Sociology; Statistics; Transfer functions; Tuning; Genetic Algorithm; PID Controller; Root locus; Synchronous Generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
Type :
conf
DOI :
10.1109/ICMA.2014.6885929
Filename :
6885929
Link To Document :
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