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doctoral thesis
UNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. urn:nbn:hr:200:396272
Žnidarec, Matej
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Chair of Power Plants and Energy Processes

Cite this document

Žnidarec, M. (2022). UNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE (Doctoral 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:200:396272

Žnidarec, Matej. "UNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:396272

Žnidarec, Matej. "UNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:396272

Žnidarec, M. (2022). 'UNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE', Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:396272

Žnidarec M. UNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE [Doctoral thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2025 March 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:396272

M. Žnidarec, "UNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE", Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:396272

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Metadata
TitleUNAPRIJEDENI DVOSLOJNI ADAPTIVNI SUSTAV UPRAVLJANJA ENERGIJOM ZA KRATKOROˇCNO PLANIRANJE POGONA MIKROMREˇZE
Title (english)ADVANCED TWO-LAYER ADAPTIVE CONTROL SYSTEM ENERGY FOR THE SHORT TERM PLANNING OF MICROGRID OPERATIONS
AuthorMatej Žnidarec
MentorDamir Šljivac (mentor)
Committee memberGoran Knežević (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Power Engineering)
(Chair of Power Plants and Energy Processes)
Osijek
Defense date and country2022-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
U disertaciji je razvijen i prikazan unaprijedeni dvoslojni adaptivni sustav upravljanja energijom za kratkoroˇcno planiranje pogona mikromreˇze. Dvoslojni sustav upravljanja energijom sastoji se od dva medusobno povezana optimizacijska problema (sloja). Viˇsi sloj je realiziran kao mjeˇsovito cjelobrojni linearni optimizacijski problem implementiran u okviru strategije pomiˇcnog horizonta s korektivnim djelovanjem i ciljem maksimizacije dobiti mikromreˇze. Niˇzi sloj je realiziran kao... More nelinearni optimizacijski problem u kosimulacijskom okruˇzenju koji uvaˇzava elektriˇcka ograniˇcenja elektroenergetske mreˇze, a ima tehniˇcki cilj minimizacije odstupanja od planiranih vrijednosti viˇsim slojem (minimizacija korektivnih mjera) u gotovo stvarnom vremenu. Sustav upravljanja energijom ima implementiran unaprijedeni model baterijskog sustava pohrane energije koji se sastoji od kombiniranja uˇcinkovitosti dvosmjernog energetskog pretvaraˇca ovisne o optere´cenju, energetskog modela punjenja baterije, modeliranja cikliˇckog i kalendarskog starenja baterije i valorizacije pohranjene energije u bateriji. Ulazni podaci u optimizacijske probleme predvidaju se uz pomo´c razliˇcitih metoda, ovisno o sloju sustava upravljanja energijom i veliˇcini koja se predvida. Koriˇstene metode podrazumijevaju modele numeriˇckog predvidanja vremena i umjetne neuronske mreˇze s dugom kratkoroˇcnom memorijom. Unaprijedeni dvoslojni adaptivni sustav upravljanja energijom primijenjen je na planiranje kratkoroˇcnog pogona testne mikromreˇze na osnovu kojeg su doneseni generalni zakljuˇcci da toˇcnost prognoza koje sluˇze kao ulazni podaci uvelike utjeˇce na optimalnost pogona mikromre ˇze. Instalirana snaga vlastitih izvora elektriˇcne energije u mikromreˇzi uvelike pridonosi stupnju samodostatnosti opskrbe mikromreˇze i smanjenju pogonskih troˇskova. Razina sloˇzenosti modela baterijskog sustava pohrane energije omogu´cuje vodenje razliˇcitih strategija pogona mikromreˇze kao kompromis izmedu smanjenja pogonskih troˇskova i produljenja ˇzivotnog vijeka opreme. Less
Abstract (english)
An advanced double-layer adaptive energy management system for short-term microgrid operation planning is developed and presented in the thesis. The double-layer energy management system consists of two interconnected optimization problems (layers). The higher layer is realized as a mixed integer linear optimization problem implemented within the rolling horizon strategy with reactive scheduling and the objective function of maximizing the profit of the microgrid. The lower layer is... More realized as a nonlinear optimization problem in a cosimulation environment that integrates the electrical limitations of the power grid, and has the technical objective of minimizing deviations from the planned values of the higher layer (minimisation of corrective measures) in near real time. The energy management system has implemented an advanced model of battery energy storage system consisting of combining the load-dependent efficiency of a bidirectional power converter unit, battery energy charging model, modeling cycle and calendar aging of the battery and valorization of stored energy in the battery. The input data to the optimization problems are predicted using different methods, depending on the layer of the energy management system and the size that is predicted. The methods used include numerical weather prediction models and artificial neural networks with long short-term memory. An advanced double-layer adaptive energy management system was applied to the shortterm operation planning of the test microgrid, based on which general conclusions were made that the accuracy of forecasts that serve as input data greatly affects the optimality of microgrid operation. The installed power of microgrid sources of electricity greatly contributes to the degree of self-sufficiency of the microgrid and the reduction of operating costs. The level of complexity (reality) of the battery energy storage system model enables the microgrid operator to manage different operation strategies as a compromise between reducing operating costs and extending equipment life. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:396272
Promotion2022-06-28
Study programmeTitle: Obtaining a doctorate of science outside of doctoral studies
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti (doktor/doktorica znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2022-07-01 10:28:09
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