DocumentCode :
3469928
Title :
Power system damping using fuzzy controlled FACTS devices
Author :
Kazemi, A. ; Sohrforouzani, M.V.
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Volume :
2
fYear :
2004
fDate :
21-24 Nov. 2004
Firstpage :
1623
Abstract :
This paper presents a new approach to the implementation of the effect of FACTS devices on damping local modes and interarea modes of oscillation based on a simple fuzzy logic proportional plus conventional integral controller in a multimachine power system. The proposed controller uses a combination of a FLC and a PI controller. In comparison with the existing fuzzy controllers, the proposed fuzzy controller combines the advantages of a FLC and a conventional PI controller. By applying this controller to the FACTS devices such as UPFC, TCSC and SVC the damping of local modes and interarea modes of oscillations in a multimachine power system will be handled properly. In addition, the paper considers the conventional PI controller and compares its performance with respect to the proposed fuzzy controller. Also the effects of the auxiliary signals in damping multimodal oscillation have been shown. Finally, several fault and load disturbance simulation results are presented to highlight the effectiveness of the proposed FACTS controller in a multimachine power system.
Keywords :
PI control; damping; flexible AC transmission systems; fuzzy control; load flow control; oscillations; power system control; power system simulation; power system stability; power transmission faults; static VAr compensators; thyristors; FACTS devices; PI controller; SVC; TCSC; UPFC; fuzzy logic controller; injection model; integral controller; load disturbance; multimachine power system; power system damping; power system fault; power system oscillation; power system simulation; power system stabiliser; static VAr compensator; thyristor-controlled series compensation; unified power flow controller; Control systems; Damping; Fuzzy control; Fuzzy logic; Fuzzy systems; Pi control; Power system faults; Power system simulation; Power systems; Proportional control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2004. PowerCon 2004. 2004 International Conference on
Print_ISBN :
0-7803-8610-8
Type :
conf
DOI :
10.1109/ICPST.2004.1460263
Filename :
1460263
Link To Document :
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