Power System Fault Detection Automation Based on Fuzzy Logic (CROSBI ID 695084)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Petrović, Ivica ; Nikolovski, Srete ; Glavaš, Hrvoje ; Relić, Filip
engleski
Power System Fault Detection Automation Based on Fuzzy Logic
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.
Fault Analysis, Fuzzy Logic, Automated Monitoring
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Podaci o prilogu
129-134.
2020.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of2020 International Conference on Smart Systems and Technologies (SST)
Žagar, Drago
Osijek: Ferit, Osijek
978-1-7281-9759-6
Podaci o skupu
International Conference on Smart Systems and Technologies 2020 (SST 2020)
predavanje
14.10.2020-16.10.2020
Osijek, Hrvatska