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master's thesis
Optimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom
2018. urn:nbn:hr:200:988819
Žgela, Matej
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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Žgela, M. (2018). Optimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom (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:200:988819

Žgela, Matej. "Optimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom." 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:200:988819

Žgela, Matej. "Optimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom." 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:200:988819

Žgela, M. (2018). 'Optimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 16 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:988819

Žgela M. Optimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2024 November 16] Available at: https://urn.nsk.hr/urn:nbn:hr:200:988819

M. Žgela, "Optimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom", 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:200:988819

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Metadata
TitleOptimizacija alokacije pasivnih filtera u distributivnim mrežama evolucijskom metodom
Title (english)Optimal allocation of passive filter in distribution networks using evolutionary algorithms
AuthorMatej Žgela
MentorMarinko Barukčić (mentor)
Committee memberMarinko Barukčić (predsjednik povjerenstva)
Committee memberŽeljko Hederić (član povjerenstva)
Committee memberMatej Žnidarec (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 country2018-07-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
Optimizacija alokacije pasivnoga filtra u nesimetričnoj distributivnoj mreži sa trinaest čvorova temelji se na dva programska alata OpenDSS i Python gdje se kao programsko razvojno sučelje koristi PyCharm. Nesimetrična distributivna mreža s 13 čvorova uzeta je kao gotov primjer koji je došao kao prilog uz instalaciju OpenDSS-a. Pomoću programskog alata Python kreiran je genetski algoritam koji promjenom parametara filtra u mreži traži najoptimalnije rješenje kako bi se dobio što manji THD mreže. Također je pomoću Pythona u OpenDSS-u kreiran filtar koji svoje parametre mijenja ovisno o genetskom algoritmu. Kao rješenje optimizacije predstavlja se THD mreže koji treba biti unutar ograničenja zadanih normom EN 50160.
Abstract (english)
Optimisation of passive filter of asymmetric distribution network of 13 nodes is based on two software OpensDSS and Python, where development language is used Python. Asymmetric distributive network with 13 nodes is used as prepared example witch is coming with OpenDSS installation. In Python is developed genetic algorithm witch is searching for parameters of passive filter in order to find the best parameters for lowest THD value. Result of software optimisation are parameters and location of passive filter witch satisfy THD value inside limits set according to EN 50160 norm
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:988819
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 09:31:49