Pregled bibliografske jedinice broj: 1085571
Power System Fault Detection Automation Based on Fuzzy Logic
Power System Fault Detection Automation Based on Fuzzy Logic // Proceedings of2020 International Conference on Smart Systems and Technologies (SST) / Žagar, Drago (ur.).
Osijek: Ferit, Osijek, 2020. str. 129-134 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1085571 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Power System Fault Detection Automation Based on
Fuzzy
Logic
Autori
Petrović, Ivica ; Nikolovski, Srete ; Glavaš, Hrvoje ; Relić, Filip
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of2020 International Conference on Smart Systems and Technologies (SST)
/ Žagar, Drago - Osijek : Ferit, Osijek, 2020, 129-134
ISBN
978-1-7281-9759-6
Skup
International Conference on Smart Systems and Technologies 2020 (SST 2020)
Mjesto i datum
Osijek, Hrvatska, 14.10.2020. - 16.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Fault Analysis, Fuzzy Logic, Automated Monitoring
Sažetak
Fuzzy logic provides an appropriate way to incorporate an individual’s knowledge into expert systems using descriptive language expressions. A large number of commercially successful applications in power energy systems show that fuzzy logic can be used very successfully, especially during disturbances. During a disturbance, automation of system fault analysis and information processing becomes desirable and necessary, due to the large increase in data collected from the system. The paper analyzes the possibilities for implementing automated fault analysis systems based on digital fault recorders, digital protection relays, sequence of events recorders, intelligent alarm processors and lightning location systems. These systems are interconnected with Intelligent Electronic Devices, supervisory control and data acquisition systems, remote terminal units or protection devices which are combined with different intelligent electronic devices in the system. For large number of devices and data, fuzzy systems have proven to be effective in detecting and classifying power system failures.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek