DocumentCode :
3336740
Title :
An Adaptive Controller Based on Genetic Algorithm to Mitigate the Oscillations in Power System
Author :
Poudeh, Mohammad Bayati
Author_Institution :
Electr. Eng. Dept., Islamic Azad Univ., Tehran
fYear :
2008
fDate :
9-11 April 2008
Firstpage :
502
Lastpage :
507
Abstract :
The Sub-Synchronous Oscillation (SSO) phenomenon in the power system with compensated transmission line, is maybe occurred. The SSO phenomenon of turbine-generator electromechanical interaction with series capacitor has historically been a terrible problem in power systems. In this paper, an adaptive control method, was used to damp these oscillations. In this control method, the performance of the exciter was improved. By using genetic algorithm and a PID controller, the output voltage of the exciter was controlled adaptively. This new control method is a Model Reference Adaptive Control method (MRAC) based on the combination of PID control and the Genetic Algorithm (GA). Genetic algorithm is employed to find the best values for PID controller´s parameters in a very short time. With this hybrid controller, mitigation of the sub-synchronous oscillations is done better. The results of simulation confirm the effect of this control method.
Keywords :
adaptive control; damping; electromechanical effects; genetic algorithms; oscillations; power system control; three-term control; turbogenerators; PID controller; adaptive controller; damping; genetic algorithm; hybrid controller; power system; series capacitor; transmission line; turbine-generator electromechanical interaction; Adaptive control; Capacitors; Control systems; Genetic algorithms; Power system modeling; Power systems; Power transmission lines; Programmable control; Three-term control; Voltage control; Adaptive Control; Genetic algorithm; Sub synchronous Oscillation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Manufacturing Application, 2008. ICSMA 2008. International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-89-950038-8-6
Electronic_ISBN :
978-89-962150-0-4
Type :
conf
DOI :
10.1109/ICSMA.2008.4505575
Filename :
4505575
Link To Document :
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