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master's thesis
Optimiranje upravljanja preklopke distributivnog transformatora i snage distribuiranih izvora evolucijskim algoritmom
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

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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

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

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

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 19 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:135266

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 November 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:135266

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

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Metadata
TitleOptimiranje 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
AuthorDinko Mandarić
MentorMarinko Barukčić (mentor)
Committee memberMarinko Barukčić (predsjednik povjerenstva)
Committee memberDanijel Topić (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 Electromechanical Engineering)
(Chair of Fundamentals of Electrical Engineering and Measurements)
Osijek
Defense date and country2016-10-03, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:135266
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 on2016-11-30 08:57:06