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master's thesis
Eksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula
2022. urn:nbn:hr:179:568891
Rakić, Ivan
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Power Engineering

Cite this document

Rakić, I. (2022). Eksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:568891

Rakić, Ivan. "Eksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:568891

Rakić, Ivan. "Eksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:568891

Rakić, I. (2022). 'Eksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:568891

Rakić I. Eksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:179:568891

I. Rakić, "Eksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:568891

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Metadata
TitleEksperimentalna implementacija MPPT algoritama u sustavu za punjenje baterija iz fotonaponskog modula
Title (english)Experimental implementation of MPPT algorithms in a photovoltaic-fed battery charging system
AuthorIvan Rakić
MentorMateo Bašić https://orcid.org/0000-0003-3987-3792 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Power Engineering)
Split
Defense date and country2022-07-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Automation and Robotics
Abstract
U ovom diplomskom radu su na eksperimentalnoj razini analizirane MPPT metode za PV sustav sa silaznim istosmjernim pretvaračem, programabilnim trošilom i baterijama. U analizi su razmatrane dvije izravne MPPT metode (P&O i IC) i dvije neizravne MPPT metode (metoda konstantnog napona i metoda fiksnog faktora vođenja). Najprije su opisane osnovne značajke i vrste PV modula te utjecaj promjene osunčanosti i temperature na karakteristike snage PV modula. Nadalje je opisan silazni istosmjerni pretvarač i režim rada koji je korišten u analizi, a potom su obrađene korištene MPPT metode i njihovi algoritmi. Zatim su pomno opisani svi elementi i parametri korišteni za realizaciju laboratorijske makete. Kao emulator PV modula korišten je programabilni istosmjerni izvor, dok je za simulaciju opterećenja korišteno programabilno AC/DC trošilo kojemu su paralelno spojene olovno-kiselinske baterije. Model upravljačkog algoritma napravljen je u MATLAB Simulinku, uz korištenje odgovarajućih blokova iz dSpaceove biblioteke za akviziciju mjerenih signala i generiranje upravljačkih PWM impulsa, koji omogućuju izvođenje algoritma u realnom vremenu pomoću kartice DS1104. Na samom kraju su prikazani i prokomentirani snimljeni dinamički eksperimentalni odzivi za razmatrane MPPT metode i pripadajuće statičke karakteristike te su usporedbom dobivenih rezultata utvrđene najperspektivnije MPPT metode za razmatrani sustav.
Abstract (english)
In this graduate thesis, MPPT methods for a PV system containing a DC-DC buck converter, programmable electronic load, and batteries are analyzed at the experimental level. Two direct MPPT methods (P&O and IC) and two indirect MPPT methods (constant voltage method and fixed duty cycle method) were considered in the analysis. First, the basic characteristics and types of PV modules are described, as well as the influence of the variation in irradiance and temperature on the respective power characteristics. The DC-DC buck converter and the corresponding operating mode used in the analysis are further described, followed by the discussion of the considered MPPT methods and the respective algorithms. Then all the elements and parameters used for the realization of the laboratory model are carefully specified. A programmable DC source was used as an emulator of the PV module, whereas a programmable AC/DC electronic load was utilized to simulate the load, to which lead-acid batteries were connected in parallel. The control algorithm was created in the MATLAB Simulink environment by using the appropriate blocks from the dSpace library to acquire the measured signals and to generate the PWM pulses, which allow for real-time execution of the algorithm using the DS1104 card. Finally, the dynamic experimental responses recorded for the considered MPPT methods and the corresponding steady-state characteristics are presented and commented on, whereas the most promising MPPT methods for the considered system are determined by confronting the obtained results
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:568891
Study programmeTitle: Electrical 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 conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-06-20 12:28:42