An expert system for substation fault detection in thermoelectric generation plants

Author

Gazzana, Daniel S. ; Oliveira, Mario O. ; Bretas, Arturo S. ; Lerm, Arturo S Bretas Andre A P ; Bettiol, Arlan L. ; Gonçalves, Marcio A Da S

Author_Institution

Fed. Univ. of Rio Grande do Sul-UFRGS, Porto Alegre, Brazil

fYear

2010

fDate

20-22 Sept. 2010

Firstpage

1

Lastpage

6

Abstract

This paper presents a methodology to develop a Fault Diagnosis Integrated System in a Thermoelectric Generation Plant (TGP). The proposed methodology is based on three methods: Discrete Fourier Transform (DFT), Fuzzy Logic and Artificial Neural Network (ANN). The test electric system was built in BPA´s ATP/EMTP software, conformably to the needs presented by a Thermoelectric Generation Plant (TGP) of 711 MW-230 kV, located in southern Brazil. Simulated test cases demonstrate the generalization capability of the protection system developed, now used in a Southern Brazilian Utility.

Keywords

EMTP; discrete Fourier transforms; expert systems; fault diagnosis; fuzzy logic; neural nets; substation protection; thermoelectric conversion; BPA ATP/EMTP software; artificial neural network; discrete Fourier transform; expert system; fault diagnosis integrated system; fuzzy logic; power 711 MW; protection system; southern Brazilian utility; substation fault detection; thermoelectric generation plants; voltage 230 kV; Artificial neural networks; Circuit breakers; Circuit faults; Expert systems; Fault diagnosis; Generators; Relays; Alarm Processing; Expert System; Faults Diagnosis; Thermoelectric Generation Plants;

fLanguage

English

Publisher

ieee

Conference_Titel

Modern Electric Power Systems (MEPS), 2010 Proceedings of the International Symposium

Conference_Location

Wroclaw

Print_ISBN

978-83-921315-7-1

Type

conf

Filename

6007263