prikaz prve stranice dokumenta Optimizacijske metode u elektroenergetskom sustavu
  Download
PDF 990.42 KB
master's thesis
Optimizacijske metode u elektroenergetskom sustavu
2023. urn:nbn:hr:200:130873
Došen, Ivan Martin
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Chair of Power Plants and Energy Processes

Cite this document

Došen, I. M. (2023). Optimizacijske metode u elektroenergetskom sustavu (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:200:130873

Došen, Ivan Martin. "Optimizacijske metode u elektroenergetskom sustavu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:130873

Došen, Ivan Martin. "Optimizacijske metode u elektroenergetskom sustavu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:130873

Došen, I. M. (2023). 'Optimizacijske metode u elektroenergetskom sustavu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 13 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:130873

Došen IM. Optimizacijske metode u elektroenergetskom sustavu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2024 May 13] Available at: https://urn.nsk.hr/urn:nbn:hr:200:130873

I. M. Došen, "Optimizacijske metode u elektroenergetskom sustavu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:130873

Please login to the repository to save this object to your list.
Metadata
TitleOptimizacijske metode u elektroenergetskom sustavu
Title (english)Optimization methods in power system
AuthorIvan Martin Došen
MentorDanijel Topić (mentor)
Committee memberDanijel Topić (predsjednik povjerenstva)
Committee memberGoran Knežević (član povjerenstva)
Committee memberKrešimir Fekete (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 Plants and Energy Processes)
Osijek
Defense date and country2023-10-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
U ovom diplomskom radu obrađena je tema optimizacijske metode u elektroenergetskom sustavu. U uvodu je opisan u kratkim crtama elektroenergetski sustav, potreba za optimiranjem elektroenergetskog sustava. Navedena je podjela optimizacijskih metoda na tradicionalne i moderne optimizacijske metode i neke su objašnjene. Objašnjen je uvod u program Python te je naveden i objašnjen u kratkim crtama matematički model. Na kraju je analiza rezultata za početni slučaj i slučaje kada postoji distribuirana proizvodnja te su provedene analize tokova snaga i optimalnih tokova snaga.
Abstract (english)
The topic of this thesis is the optimization methods in the power system. The introduction provides a brief description of the power system and the need for optimizing it. The division of optimization methods into traditional and modern ones is mentioned, and some of them are explained. The introduction to the Python software is explained, along with a brief description of the mathematical model. In the end, the analysis of results is presented for the initial case and cases with distributed generation, including power flow analyses and optimal power flow analyses.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:130873
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering
Course: Communications and Informatics
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 on2023-11-02 08:34:11