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master's thesis
Primjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži
2018. urn:nbn:hr:200:539798
Krancpiler, Damir
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Electromagnetic Compatibility Laboratory

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Krancpiler, D. (2018). Primjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:539798

Krancpiler, Damir. "Primjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:539798

Krancpiler, Damir. "Primjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:539798

Krancpiler, D. (2018). 'Primjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 10 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:539798

Krancpiler D. Primjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2024 December 10] Available at: https://urn.nsk.hr/urn:nbn:hr:200:539798

D. Krancpiler, "Primjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:539798

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Metadata
TitlePrimjena neizrazitih sustava za inteligentnu obradu događaja pri određivanju primarnog kvara u prijenosnoj mreži
AuthorDamir Krancpiler
MentorHrvoje Glavaš (mentor)
MentorIvica Petrović (mentor)
Committee memberHrvoje Glavaš (predsjednik povjerenstva)
Committee memberTomislav Barić (član povjerenstva)
Committee memberIvica Petrović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Power Engineering)
(Electromagnetic Compatibility Laboratory)
Osijek
Defense date and country2018-10-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
Analiza detekcije kvara putem neizrazite logike je precizan proces gdje se mora uzeti u razmatranje veliki broj čimbenika, odnosno parametara vezanih za promatranu električnu mrežu. Kako bi se u potpunosti mogao razriješiti taj problem je potrebno teorijski razumjeti što definira neizrazitu logiku, kako se formiraju neizraziti sustavi te razumjeti što je potrebno provesti u sintezi neizrazitog regulatora. Potrebno je i teorijsko poznavanje prijenosnih mreža, njena osnovna svojstva te ponašanje cjelokupnog sustava pri pojavi kvara. Primarni kvar u većini slučajeva nije teško detektirati i definirati u samim pravilima neizrazitog regulatora, no pri definiranju sekundarnih i tercijarnih kvarova, odnosno detektiranje dijelova mreže zahvaćenih primarnim kvarom, je detaljniji posao za što je dobro složenije definirati funkcije pripadnosti kako bi se svaki detalj, koji se operatoru želi prikazati, mogao lagano definirati. U ovome diplomskome radu je teorijski razmotrena detekcija primarnog kvara i napravljen je model u programskom paketu MATLAB kako bi se prikazao proces neizrazitog zaključivanja.
Abstract (english)
Detection of faults is analysed through the use of fuzzy logic. Analysis is a precise process which must consider many factors and criteria related to the observed electrical network. For that problem to be solved, it is necessary to theoretically understand the fuzzy logic, to know how to form fuzzy systems and the knowledge for synthesizing the fuzzy regulator. Theoretical knowledge of transmission networks is necessary as well, along with the basic properties and behaviour of the whole power system when fault occurs. Primary fault isn't hard to detect in most cases, and it is pretty easy to define in rules of the fuzzy regulator; harder and perhaps finer part to define are the secondary and tertiary faults which equates to detecting the parts of the network that are affected by the primary fault. For that purpose it is good to make a more complex membership functions which would allow for easier definitions of each and every detail so it can be clearly shown to the network operator. In this master's thesis, the detection of primary faults is theoretically considered and a fuzzy model was made in a computer program MATLAB to represent the process of fuzzy inference.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:200:539798
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering
Course: Power Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-11-06 11:33:49