DocumentCode :
3473785
Title :
Fuzzy adaptive fault detector of power systems based on Riccati equation
Author :
Matsuo, Takami ; Shiode, Takeshi ; Suemitsu, Haruo
Author_Institution :
Dept. of Human Welfare Eng., Oita Univ., Japan
Volume :
6
fYear :
1999
fDate :
1999
Firstpage :
179
Abstract :
The dynamics of power systems contain nonlinearities such as trigonometric functions and parameter uncertainties of reactances of transmission lines caused by short circuit faults. Wang et al. (1993, 1994) employed the feedback linearization technique and proposed the switching control between the power system stabilizer (PSS) and the automatic voltage regulator (AVR) in exciting the generator. The PSS is used in the case of transmission-line faults to attain transient stability enhancement. Therefore, it is important to know when the faults occur in the transmission lines. We design an adaptive fault detector for the transmission lines of Wang´s (1994) power system model. We employ the fuzzy basis function expansion and the adaptive parameter update law with a Riccati equation in designing the adaptive fault detector
Keywords :
Riccati equations; adaptive control; fault diagnosis; feedback; fuzzy control; identification; linearisation techniques; power system transient stability; power transmission faults; short-circuit currents; automatic voltage regulator; feedback linearization technique; fuzzy adaptive fault detector; parameter uncertainties; power system stabilizer; short circuit faults; switching control; transient stability enhancement; transmission-line faults; trigonometric functions; Circuit faults; Electrical fault detection; Fuzzy systems; Power system control; Power system dynamics; Power system faults; Power system stability; Power system transients; Power transmission lines; Riccati equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
ISSN :
1062-922X
Print_ISBN :
0-7803-5731-0
Type :
conf
DOI :
10.1109/ICSMC.1999.816515
Filename :
816515
Link To Document :
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