Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom

Mandarić, Dinko

prikaz prve stranice dokumenta Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom

master's thesis

Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. urn:nbn:hr:200:135266

Mandarić, Dinko

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Electromechanical Engineering
Chair of Fundamentals of Electrical Engineering and Measurements

Cite this document

APA 6th Edition

Mandarić, D. (2016). Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom (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:200:135266

MLA 8th Edition

Mandarić, Dinko. "Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:135266

Chicago 17th Edition

Harvard

Mandarić, D. (2016). 'Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:135266

Vancouver

Mandarić D. Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:200:135266

IEEE

D. Mandarić, "Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:135266

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:135266

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Metadata

Title	Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom
Title (english)	Optimal control of distribution transformer load tap changer and distributed generations by using evolutionary algorithm
Author	Dinko Mandarić
Mentor	Marinko Barukčić (mentor)
Committee member	Marinko Barukčić (predsjednik povjerenstva)
Committee member	Danijel Topić (član povjerenstva)
Committee member	Marko Vukobratović (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Electromechanical Engineering) (Chair of Fundamentals of Electrical Engineering and Measurements) Osijek
Defense date and country	2016-10-03, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering
Abstract	Smanjenje gubitaka električne energije i povećanje korištenja obnovljivih izvora energije postaje sve popularnije u novije vrijeme. Korištenjem distribuiranih izvora mogu se postići oba od ovih ciljeva, no potrebno je optimiranje proizvodnji distribuiranih izvora. U ovom radu korišten je genetski algoritam, koji je dio MATLAB programskog paketa. Genetski se algoritam moţe koristiti za rješavanje mnogih problema optimizacije. Rezultati dobiveni u radu su vrlo dobri, te pokazuju kako bi se korištenjem distribuiranih izvora mogli uvelike smanjiti gubici u mreţi. Da bi se odredio stvarni utjecaj ugradnje distribuiranih izvora, potrebna su dodatna istraţivanja, te uzimanje u obzir mnogih faktora koji su u radu zanemareni, kako bi se pojednostavnio rad algoritma. Stoga iako su rezultati vrlo dobri, treba ih uzeti s rezervom.
Abstract (english)	Reducing power lossee and increasing use of renewable energy resources is becoming more popular in recent times. By using distributed generation, we can achieve both of these goals, but it is necessery to optimize production of distributed generetion. In this paper we used genetic algorithm which is part of MATLAB software package. Genetic algorithm can be used for solving many optimization problems. The results obtained in this paper and they show that use of distributed generation could greatly reduce power losses in network. To determine actual impact of distributed generation usage, further research is needed, and taking into accountmany factorsthat are disregarded in this paper in order to simplify the operation of algorithm. Therefore, altough results are very good, they should be taken with reserve.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:135266
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on	2016-11-30 08:57:06

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