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master's thesis
Primjena metoda optimizacije u elektroenergetskom sustavu
2018. urn:nbn:hr:200:386527
Palčić, 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

Cite this document

Palčić, H. (2018). Primjena metoda optimizacije u elektroenergetskom sustavu (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:386527

Palčić, Hrvoje. "Primjena metoda optimizacije u elektroenergetskom sustavu." 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:200:386527

Palčić, Hrvoje. "Primjena metoda optimizacije u elektroenergetskom sustavu." 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:200:386527

Palčić, H. (2018). 'Primjena metoda optimizacije u elektroenergetskom sustavu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 16 May 2021, https://urn.nsk.hr/urn:nbn:hr:200:386527

Palčić H. Primjena metoda optimizacije u elektroenergetskom sustavu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2021 May 16] Available at: https://urn.nsk.hr/urn:nbn:hr:200:386527

H. Palčić, "Primjena metoda optimizacije u elektroenergetskom sustavu", 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:200:386527

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Metadata
TitlePrimjena metoda optimizacije u elektroenergetskom sustavu
Title (english)Application of optimization methods in power system
AuthorHrvoje Palčić
MentorPredrag Marić (mentor)
Committee memberPredrag Marić (predsjednik povjerenstva)
Committee memberMarko Vukobratović (član povjerenstva)
Committee memberMarinko Barukčić (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 country2018-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Universal decimal classification
(UDC)
Abstract
Povećanje svakodnevnih potreba ljudi za električnom energijom raste ubrzano, ponajviše zbog sve veće svijesti o ekologiji i klimatskim promjenama kao i cijenama naftnih derivata. Posljedica toga su i mnogobrojni raznovrsni distribuirani izvori energije koji mijenjaju tokove snaga na mreži. Zbog raspršene i komplicirane proizvodnje potrebno je elektroenergetski sustav što bolje optimirati kako bi se što bolje iskoristila infrastruktura i smanjili troškovi. Pomoć pri optimiranju pružaju razni algoritmi i metode optimizacije mreže i tokova snaga koji su opisani u radu. U ovome radu koristila se metoda roja čestica za optimiranje zadane mreže u programskom paketu Matlab pomoću nadogradnje Matpower. Dobiveni rezultati pokazuju iznos smanjenja gubitaka i upućuju na mjesta gdje postoji mogućnost smanjenja gubitaka radne i jalove snage. Rezultati simulacije su okvirno pomagalo gdje smanjiti gubitke, a za realnu upotrebu bilo bi potrebno dodatno istražiti rješenja jer su prilikom simulacije poneka realna ograničenja zanemarena radi jednostavnosti.
Abstract (english)
Increasing the daily needs of people for electricity is growing rapidly, mainly due to the increasing awareness of ecology and climate changes, as well as the prices of petroleum products. As a result, there are many different distributed energy sources that change power flows on the network. Due to scattered and complicated production, the power system needs to be optimized, to reduce the infrastructure costs. Optimization help to provide a variety of algorithms and network optimization methods and power flows that are described in the work. In this paper the particle swarm method was used to optimize the default network in the Matlab software package by using Matpower upgrade. The obtained results show the amount of loss reduction and point to places where there is a possibility of reducing true power and reactive power losses. The simulation results are a cost-effective way to reduce the losses, for realistic usefurther research would be necessary, because some realistic constraints are ignored during simulation for simplicity.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:386527
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 on2018-07-25 09:36:59