An expert system for substation fault detection in thermoelectric generation plants

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 BP...

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Bibliographic Details
Main Authors: Gazzana, D. S., Oliveira, M. O., Bretas, A. S., Lerm, A. A. P., Bettiol, A. L., Da S Goncalves, M. A.
Format: Conference Proceeding
Language:English
Subjects:
Alarm Processing
Artificial neural networks
Circuit breakers
Circuit faults
Expert System
Expert systems
Fault diagnosis
Faults Diagnosis
Generators
Relays
Thermoelectric Generation Plants
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Summary: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.