Fault location in EHV transmission lines using artificial neural networks

• Autorzy: Tahar Bouthiba
• Języki publikacji: EN

Abstrakty

EN

This paper deals with the application of artificial neural networks (ANNs) to fault detection and location in extra high voltage (EHV) transmission lines for high speed protection using terminal line data. The proposed neural fault detector and locator were trained using various sets of data available from a selected power network model and simulating different fault scenarios (fault types, fault locations, fault resistances and fault inception angles) and different power system data (source capacities, source voltages, source angles, time constants of the sources). Three fault locators are proposed and a comparative study of the proposed fault locators is carried out in order to determine which ANN fault locator structure leads to the best performance. The results show that artificial neural networks offer the possibility to be used for on-line fault detection and location in transmission lines and give satisfactory results.

Słowa kluczowe

EN

fault location; artificial neural networks; transmission line; fault detection

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2004
• Tom: 14
• Numer: 1
• Strony: 69-78

Daty

wydano

2004

otrzymano

2003-01-15

poprawiono

2003-05-21

(nieznana)

2003-07-13

Twórcy

autor

Tahar Bouthiba

• University of Science and Technology of Oran, Faculty of Electrical Engineering, B.P. 1505 ElMnaouar, Oran 31000, Algeria

Bibliografia

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