Accurate fault detection and location in power transmission line using concurrent neuro fuzzy technique

• Autorzy: Eboule Patrick S. Pouabe , Hasan Ali N.

Identyfikatory

DOI

10.15199/48.2021.01.07

Warianty tytułu

PL

Precyzyjne wykrywanie i lokalizowanie usterek w linii przesyłowej energii przy użyciu równoległej techniki neuro-rozmytej

• Języki publikacji: EN

Abstrakty

EN

In this paper a new approach for the detecting and locating different kinds of faults on power transmission lines using the concurrent neurofuzzy technique (CNF) is introduced. This approach relies on the advantages of combining fuzzy logic (FL) and the artificial neural network (ANN) to detect, classify and locate faults on a power transmission line that carries high voltage and very high voltage of 400 kV and 750 kV respectively over short distance and long distance of 120 km and 600 km respectively. Results exhibit that CNF is capable of detecting several and different fault types and locations with high accuracy, which will reduce the time for the technical team maintenance to achieve their goals.

PL

W artykule przedstawiono nowe podejscie do wykrywania i lokalizowania róznego rodzaju usterek w liniach elektroenergetycznych przy ˙ użyciu współbieżnej techniki neuro-rozmytej (CNF). Podejście to opiera się na zaletach połączenia logiki rozmytej i sztucznej sieci neuronowej w celu wykrywania, klasyfikowania i lokalizowania usterek w linii elektroenergetycznej, która przenosi wysokie napięcie i bardzo wysokie napięcie odpowiednio 400 kV i 750 kV w krótkim czasie odległośc i długa odległość odpowiednio 120 km i 600 km. Wyniki pokazują, ze CNF jest w stanie wykryć kilka różnych ˙ typów usterek i lokalizacji z dużą dokładnoscią, co skróci czas potrzebny zespołowi technicznemu na osiągnięcie celów.

Słowa kluczowe

EN

transmission line system; fault detection; fault location; concurrent neuro-fuzzy technique

PL

system linii przesyłowych; wykrywanie uszkodzenia; lokalizacja usterki; równoczesna technika neuro-rozmyta

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2021
• Tom: R. 97, nr 1
• Strony: 37--45
• Opis fizyczny: Bibliogr. 37 poz., rys., tab.

Twórcy

autor

Eboule Patrick S. Pouabe

• University of Johannesburg, South Africa

autor

Hasan Ali N.

• University of Johannesburg, South Africa

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).