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Application of a combined fuzzy logic to cause- effect analysis for the fault detection in transmission networks


Petrović, Ivica; Barukčić, Marinko; Mijić, Ivan; Hederić, Željko;
Application of a combined fuzzy logic to cause- effect analysis for the fault detection in transmission networks // Digest book of the 7th SYMPOSIUM ON APPLIED ELECTROMAGNETICS SAEM’18 / Seme, Sebastijan ; Hadžiselimović, Miralem ; Štumberger, Bojan (ur.).
Maribor: University of Maribor Press, 2018. str. 98-99 doi:10.18690/978-961-286-171-1 (poster, međunarodna recenzija, prosireni, znanstveni)


Naslov
Application of a combined fuzzy logic to cause- effect analysis for the fault detection in transmission networks

Autori
Petrović, Ivica ; Barukčić, Marinko ; Mijić, Ivan ; Hederić, Željko ;

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prosireni, znanstveni

Izvornik
Digest book of the 7th SYMPOSIUM ON APPLIED ELECTROMAGNETICS SAEM’18 / Seme, Sebastijan ; Hadžiselimović, Miralem ; Štumberger, Bojan - Maribor : University of Maribor Press, 2018, 98-99

ISBN
978-961-286-171-1

Skup
7th SYMPOSIUM ON APPLIED ELECTROMAGNETICS SAEM’18

Mjesto i datum
Podčetrtek, Slovenija, 17-20.06.2018.

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Fault detection, fuzzy logic, transmission networks

Sažetak
In the power system, network elements are sometimes exposed to very complex malfunctions and disturbances, the causes and consequences of which are very difficult to see and determine via the power system management. This is especially noticeable at fault in thunderstorms, which are caused by lightning strikes directly or near the plant. This article presents problems related to determining the location of a lightning strike and the failure of a network element at an event of a fault in the network. Combined fuzzy logic applications are featured using expert knowledge of individuals to determine the connection between a nearby lightning or a lightning strike or in the transmission network itself. Data from the SCADA system (real-time network state data) and Lightning Locating System (LLS) data that link lightning current and lightning location data to individual network elements have been used.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

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