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