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master's thesis
Optimizacijska funkcija procjene stanja u elektroenergetskom sustava
2018. urn:nbn:hr:200:399136
Bešlić, Hrvoje
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Chair of Power Systems and Substations

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Bešlić, H. (2018). Optimizacijska funkcija procjene stanja u elektroenergetskom sustava (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:399136

Bešlić, Hrvoje. "Optimizacijska funkcija procjene stanja u elektroenergetskom sustava." 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:200:399136

Bešlić, Hrvoje. "Optimizacijska funkcija procjene stanja u elektroenergetskom sustava." 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:200:399136

Bešlić, H. (2018). 'Optimizacijska funkcija procjene stanja u elektroenergetskom sustava', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 20 March 2023, https://urn.nsk.hr/urn:nbn:hr:200:399136

Bešlić H. Optimizacijska funkcija procjene stanja u elektroenergetskom sustava [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2023 March 20] Available at: https://urn.nsk.hr/urn:nbn:hr:200:399136

H. Bešlić, "Optimizacijska funkcija procjene stanja u elektroenergetskom sustava", 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:200:399136

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Metadata
TitleOptimizacijska funkcija procjene stanja u elektroenergetskom sustava
Title (english)State estimation in power system
AuthorHrvoje Bešlić
MentorKrešimir Fekete (mentor)
MentorMarko Vukobratović (mentor)
Committee memberKrešimir Fekete (predsjednik povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberMarko Vukobratović (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Power Engineering)
(Chair of Power Systems and Substations)
Osijek
Defense date and country2018-05-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
U radu je bilo potrebno kratko opisati sustav vođenja i upravljanja elektroenergetskim sustavom te istražiti i opisati optimizacijske funkcije koje koristi sustav upravljanja energijom EMS. Poseban osvrt u ovom radu je na optimizacijskoj funkciji procjene stanja. Za shvaćanje sustava upravljanja energijom potrebno je poznavanje matematičkih postupaka koji stoje iza tih funkcija. U radu je najveći fokus na funkciji procjene stanja, točnije na metodi najmanjih kvadrata koja se i koristi kao metoda rješavanja simulacije procjene stanja. Prikupljanjem mnogobrojne literature u radu je povezan matematički i tehnički aspekt ovih funkcija te je pojašnjen njihov utjecaj i važnost na vođenje sustava. Praktični dio rada sastojao se od korištenja dva programska paketa uz pomoć kojih se simulirala procjena dnevnog opterećenja na IEEE testnom sustavu. Korišteni programski paketi su Matlab i PowerWorld.
Abstract (english)
The goal of this paper was to describe the system for controling and managing the electical power network and to describe the optimisation functions used by the Energy management system or for short the EMS. Knowledge of mathematical procedures is essential to undersanding of the processes of running and controling the EMS. This paper focuses the most on the state estimation function, and inside that its biggest focus is the weighted least squares method or the WLS which is used as a method of calculating the state estimation in the practical part of the work. This paper connects mathematical and tehnical aspects of the optimisation functions, and gives and insight to their importance in running the system. Practical part of the paper consisted of using Matlab and PowerWorld as tools for state estimation of a days worth of load fluctiation on a IEEE test system.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:399136
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 on2018-06-12 16:09:52