DocumentCode :
560712
Title :
Computational intelligence technique based PI controller using SVC
Author :
Kamari, Nor Azwan Mohamed ; Musirin, Ismail ; Othman, Muhammad Murtadha
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Mara, Shah Alam, Malaysia
Volume :
2
fYear :
2011
fDate :
8-9 Sept. 2011
Firstpage :
354
Lastpage :
357
Abstract :
This paper presents Evolutionary Programming (EP) based optimization technique for estimating PI controller parameters of a Static Var Compensator (SVC) which controls a synchronous machine. SVC is one type of Flexible AC Transmission Systems (FACTS) device, designed and implemented to improve the damping of a synchronous generator, as well as controlling the system voltage. Computational intelligence technique based PI controller using SVC is implemented in this study. The study involves the development of PI controller for SVC placement, while computational intelligence technique is used to optimize the values of proportional gain, KP and interval gain, KI parameters of PI controller. Validation with respect to eigenvalues determination and synchronizing and damping torque coefficients (KS and KD) value confirmed that the proposed technique is effective to improve the angle stability problem.
Keywords :
PI control; flexible AC transmission systems; machine control; static VAr compensators; synchronous generators; FACTS; PI controller; SVC; computational intelligence technique; evolutionary programming based optimization technique; flexible AC transmission systems; static VAr compensator; synchronous generator; synchronous machine; system voltage control; Damping; Mathematical model; Power system stability; Programming; Rotors; Static VAr compensators; Torque; Damping Torque Coefficient; Evolutionary Programming; Synchronizing Torque Coefficient; Transient Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
Type :
conf
DOI :
10.1109/PEAM.2011.6134959
Filename :
6134959
Link To Document :
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