Identifikacija parametara toplinskog modela energetskog transformatora pomoću genetičkog algoritma

professional thesis

• Title (english): Identification of the parameters of the thermal model of the power transformer using a genetic algorithm
• Author: Josip Kolar
• Mentor: Nedjeljko Perić (mentor)
• Committee member: Željko Štih (predsjednik povjerenstva)
• Committee member: Nedjeljko Perić (član povjerenstva)
• Committee member: Antun Mikulecky (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Control and Computer Engineering); Zagreb
• Defense date and country: 2009-12-01, 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: energetski transformator; toplinski model energetskog transformatora; točka namota; genetički algoritam
• Keywords (english): power transformer; thermal model of power transformer; winding point; genetic algorithm
• Language: croatian
• URN:NBN: urn:nbn:hr:168:199614
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2022-10-21 10:39:08