prikaz prve stranice dokumenta Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma
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professional thesis
Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2009. urn:nbn:hr:168:199614
Kolar, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Institutional repository: FER Repository

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Kolar, J. (2009). Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma (Professional thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:199614

Kolar, Josip. "Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma." Professional thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2009. https://urn.nsk.hr/urn:nbn:hr:168:199614

Kolar, Josip. "Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma." Professional thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2009. https://urn.nsk.hr/urn:nbn:hr:168:199614

Kolar, J. (2009). 'Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma', Professional thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:199614

Kolar J. Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma [Professional thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2009 [cited 2024 May 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:199614

J. Kolar, "Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma", Professional thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2009. Available at: https://urn.nsk.hr/urn:nbn:hr:168:199614

Metadata
TitleIdentifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma
Title (english)Identification of the parameters of the thermal model of the power transformer using a genetic algorithm
AuthorJosip Kolar
MentorNedjeljko Perić (mentor)
Committee memberŽeljko Štih (predsjednik povjerenstva)
Committee memberNedjeljko Perić (član povjerenstva)
Committee memberAntun Mikulecky (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Control and Computer Engineering)
Zagreb
Defense date and country2009-12-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Nedavne studije pokazale su da IEEE toplinski model energetskog transformatora nedovoljno točno estimira temperaturu najtoplije točke namota energetskog transformatora u uvjetima preopterećenja. To je uglavnom posljedica promjene parametara toplinskog modela energetskog transformatora u uvjetima preopterećenja. U radu je obrađena metoda za identifikaciju korigiranog skupa parametara toplinskog modela energetskog transformatora koja se temelji na genetičkom algoritmu. Uspoređujući vremensku funkciju temperature najtoplije točke namota, dobivenu iz toplinskog modela na temelju vremenske funkcije struje opterećenja, s vremenskom funkcijom izmjerene temperature najtoplije točke namota, metoda omogućuje identifikaciju korigiranog skupa parametara toplinskog modela energetskog transformatora. Točnost identifikacije parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma ocijenjena je pomoću podataka dobivenih iz praktičnih ispitivanja.
Abstract (english)
Late studies have shown that transformer thermal model proposed by IEEE Transformer Loading Guide does not estimate winding hot - spot temperature of a power transformer accurate enough in the presence of overload conditions. This is mainly due to the deviation of the parameters of the thermal model of the power transformer in the presence of overload conditions. In the work, method to indentify the corrected set of parameters of the thermal model of the power transformer using genetic algorithm is presented. By comparing hot spot temperature pattern, which is assigned from thermal model of the power transformer working on the load current pattern, with measured hot spot temperature, method provide to identify a corrected set of parameters for the thermal model of the power transformer in the presence of overload conditions. Using data obtained from the experimental tests, method to indentify the corrected set of parameters of the thermal model of the power transformer based on genetic algorithm is tested in terms of accuracy.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:199614
Study programmeTitle: Postgraduate specialist Study in Transformers
Study programme type: university
Study level: postgraduate specialist
Academic / professional title: sveučilišni/a specijalist/specijalistica transformatora (sveučilišni/a specijalist/specijalistica transformatora)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2022-10-21 10:39:08