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Pregled bibliografske jedinice broj: 1085571

Power System Fault Detection Automation Based on Fuzzy Logic


Petrović, Ivica; Nikolovski, Srete; Glavaš, Hrvoje; Relić, Filip
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
2020 International Conference on Smart Systems and Technologies (SST)

Mjesto i datum
Osijek, Hrvatska, 14-16.10.2020

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

Profili:

Avatar Url Hrvoje Glavaš (autor)

Avatar Url Srete Nikolovski (autor)

Avatar Url Ivica Petrović (autor)

Citiraj ovu publikaciju

Petrović, Ivica; Nikolovski, Srete; Glavaš, Hrvoje; Relić, Filip
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)
Petrović, I., Nikolovski, S., Glavaš, H. & Relić, F. (2020) Power System Fault Detection Automation Based on Fuzzy Logic. U: Žagar, D. (ur.)Proceedings of2020 International Conference on Smart Systems and Technologies (SST).
@article{article, editor = {\v{Z}agar, D.}, year = {2020}, pages = {129-134}, keywords = {Fault Analysis, Fuzzy Logic, Automated Monitoring}, isbn = {978-1-7281-9759-6}, title = {Power System Fault Detection Automation Based on Fuzzy Logic}, keyword = {Fault Analysis, Fuzzy Logic, Automated Monitoring}, publisher = {Ferit, Osijek}, publisherplace = {Osijek, Hrvatska} }
@article{article, editor = {\v{Z}agar, D.}, year = {2020}, pages = {129-134}, keywords = {Fault Analysis, Fuzzy Logic, Automated Monitoring}, isbn = {978-1-7281-9759-6}, title = {Power System Fault Detection Automation Based on Fuzzy Logic}, keyword = {Fault Analysis, Fuzzy Logic, Automated Monitoring}, publisher = {Ferit, Osijek}, publisherplace = {Osijek, Hrvatska} }




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