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master's thesis
Optimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom
2021. urn:nbn:hr:200:851425
Kereta, Matija
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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Kereta, M. (2021). Optimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:851425

Kereta, Matija. "Optimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:851425

Kereta, Matija. "Optimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:851425

Kereta, M. (2021). 'Optimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 21 March 2023, https://urn.nsk.hr/urn:nbn:hr:200:851425

Kereta M. Optimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2021 [cited 2023 March 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:851425

M. Kereta, "Optimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:200:851425

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Metadata
TitleOptimalna alokacija baterijskih spremišta energije u distributivnim mrežama s distribuiranom proizvodnjom
Title (english)Optimal allocation of battery storage in distribution grid with distribudet generation
AuthorMatija Kereta
MentorMarinko Barukčić (mentor)
Committee memberMarinko Barukčić (predsjednik povjerenstva)
Committee memberTomislav Barić (član povjerenstva)
Committee memberToni Varga (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 country2021-05-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
U radu je opisan proces optimizacije baterijskog spremišta energija u nesimetričnog distributivnoj mreži s dva neupravljiva distribuirana izvora energija pomoću dva programa, OpenDSS i Python. Python je korišten za optimizaciju, dok je OpenDSS korišten za stvaranje virtualne distributivne mreže i kao alat za proračune. U Python-u je korištena diferencijalna evolucija, evolucijska strategija s ciljem traženja globalnog minimuma. Funkcija čiji se globalni minimum tražio su ukupni gubici u periodu od jednog dana s intervalima po jedan sat. Postignuti su niži gubici u mreži, ali bitniji rezultat je postignut u obliku učinkovitije distributivne mreže s obzirom da je naponski profil te mreže unutar granica zadanih normom.
Abstract (english)
The paper describes the process of optimizing a battery energy storage in a asymmetric distribution network with two uncontrolled distribution energy sources using two programs, OpenDSS and Python. Python was used for optimization, while OpenDSS was used to create a virtual distribution network and as a tool for calculating. In Python, differential evolution was used, an evolutionary strategy with an objective to find global minimum. The function whose global minimum was sought after were total system losses over a period of one day with invervals of one hour. Lower losses in network were achieved, but a more significant result was achieved in the form of more efficient distribution network, considering that the voltage profile of that network was within the limits of set norm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:851425
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 on2021-06-10 06:45:03