- Tytuł:
- Intelligent fault diagnosis of power transmission line using fuzzy logic and artificial neural network
- Autorzy:
-
Touati, Khaled Omer Mokhtar
Boudiaf, Mohamed
Merzouk, Imad
Hafaifa, Ahmed - Powiązania:
- https://bibliotekanauki.pl/articles/2146743.pdf
- Data publikacji:
- 2022
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
power system diagnosis
fault detection
electrical transmission lines
ANN
fuzzy logic
system elektroenergetyczny
diagnozowanie
linia elektroenergetyczna
wykrywanie uszkodzeń
logika rozmyta
sztuczne sieci neuronowe - Opis:
- In the industrial sector, transmission lines are an important part of the electrical grid. Thus it is important to protect it from all the different faults that may occur as soon as possible to supply the electric power continuously. This paper presents a modern solutions and a comparative study of fault detection and identification in electrical transmission lines using artificial neural network (ANN) compare to the fuzzy logic. Faults in transmission line of various types have been created using simulation model. An intelligent monitoring system (IFD: Intelligent Fault Diagnosis) was used at both ends of a 230 kV overhead transmission line, voltage and current measurements exploited as indicator data for this system. Both approaches were found to be robust, accurate and reliable to detect the fault when it occurs, to determine the fault type short circuit or opening of a power line (open circuit), to locate the fault and to determine which phase was faulted.
- Źródło:
-
Diagnostyka; 2022, 23, 4; art. no. 2022410
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł