Application of a combined fuzzy logic to cause- effect analysis for the fault detection in transmission networks (CROSBI ID 663188)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Petrović, Ivica ; Barukčić, Marinko ; Mijić, Ivan ; Hederić, Željko ;
engleski
Application of a combined fuzzy logic to cause- effect analysis for the fault detection in transmission networks
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.
fault detection, fuzzy logic, transmission networks
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Podaci o prilogu
98-99.
2018.
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objavljeno
978-961-286-241-1
10.18690/978-961-286-241-1
Podaci o matičnoj publikaciji
7th International Symposium on Applied Electromagnetics: Conference Proceedings
Seme, Sebastijan ; Hadžiselimović, Miralem ; Štumberger, Bojan
Maribor: Univerzitetna založba Univerze v Mariboru
Podaci o skupu
7th International Symposium on Applied Electromagnetics (SAEM 18)
poster
17.06.2018-20.06.2018
Podčetrtek, Slovenija