DocumentCode
2416928
Title
Design of fuzzy damping controller of UPFC through genetic algorithm
Author
Mok, T.K. ; Ni, Yixin ; Wu, Felix F.
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ., China
Volume
3
fYear
2000
fDate
2000
Firstpage
1889
Abstract
The addition of a PSS-like supplementary controller to the UPFC main control can provide effective damping to the low frequency oscillation on the heavily loaded tie lines of interconnected power systems. However, the conventional controller designed based on a linearized model cannot provide satisfactory performance over a wide range of operation point and under large disturbances. In this paper, the design of a fuzzy damping controller (FDC) for UPFC as a substitute of the conventional supplementary controller is presented. Scaling factors are inserted to the membership functions of both inputs and output for easy design of fuzzifier and defuzzifier. A genetic algorithm (GA) is applied to optimize the performance of the FDC through fine-tuning of the scaling factors. A 4-machine interconnected power system is used as the test system with a UPFC installed in one of the tie lines. Comparisons between the performances of both the fuzzy and the conventional supplementary controllers are studied. Computer test results show that FDC is very effective in damping the oscillation and in the meantime has a better robustness as compared with its conventional counterpart
Keywords
control system analysis computing; damping; flexible AC transmission systems; fuzzy control; genetic algorithms; power factor correction; power system analysis computing; power system interconnection; power system stability; power transmission control; robust control; PSS-like supplementary controller; UPFC; computer simulation; control simulation; defuzzifier; fuzzifier; fuzzy damping controller design; genetic algorithm; heavily loaded tie lines; interconnected power systems; low-frequency oscillation damping; membership functions; robustness; scaling factors; Control systems; Damping; Frequency; Fuzzy control; Genetic algorithms; Power system control; Power system interconnection; Power system modeling; Power systems; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society Summer Meeting, 2000. IEEE
Conference_Location
Seattle, WA
Print_ISBN
0-7803-6420-1
Type
conf
DOI
10.1109/PESS.2000.868822
Filename
868822
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