Czasopismo | PRZEGLĄD ELEKTROTECHNICZNY | Rocznik 2021 - zeszyt 1

Accurate Fault Detection and Location in Power Transmission Line Using Concurrent Neuro Fuzzy Technique

10.15199/48.2021.01.07

nr katalogowy: 129828
10.15199/48.2021.01.07

Streszczenie

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.

Abstract

W artykule przedstawiono nowe podej´scie do wykrywania i lokalizowania ró˙znego rodzaju usterek w liniach elektroenergetycznych przy u˙zyciu współbie˙znej techniki neuro-rozmytej (CNF). Podejs´cie to opiera sie˛ na zaletach poła˛czenia logiki rozmytej i sztucznej sieci neuronowej w celu wykrywania, klasyfikowania i lokalizowania usterek w linii elektroenergetycznej, która przenosi wysokie napi˛ecie i bardzo wysokie napi˛ecie odpowiednio 400 kV i 750 kV w krótkim czasie odległos´c´ i długa odległos´c´ odpowiednio 120 km i 600 km. Wyniki pokazuja˛, z˙e CNF jest w stanie wykryc´ kilka róz˙nych typów usterek i lokalizacji z duz˙a˛ dokładnos´cia˛, co skróci czas potrzebny zespołowi technicznemu na osia˛gnie˛cie celów. (Precyzyjne wykrywanie i lokalizowanie usterek w linii przesyłowej energii przy u˙zyciu równoległej techniki neuro-rozmytej

Słowa kluczowe

Keywords

Bibliografia

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