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doctoral thesis
Model za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu
2023. urn:nbn:hr:179:602510
Mandić, Marin
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Power Engineering

Cite this document

Mandić, M. (2023). Model za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu (Doctoral thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:602510

Mandić, Marin. "Model za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:179:602510

Mandić, Marin. "Model za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:179:602510

Mandić, M. (2023). 'Model za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu', Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:602510

Mandić M. Model za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu [Doctoral thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2023 [cited 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:179:602510

M. Mandić, "Model za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu", Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:179:602510

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Metadata
TitleModel za optimizaciju rada spremišta energije u tržišno orijentiranom elektroenergetskom sustavu
Title (english)Optimization model for energy storage operation in a market-oriented power system
AuthorMarin Mandić https://orcid.org/0000-0002-7656-1934
MentorElis Sutlović https://orcid.org/0000-0002-2257-9805 (mentor)
Committee memberTonći Modrić https://orcid.org/0000-0002-1411-1591 (predsjednik povjerenstva)
Committee memberNikša Kovač (član povjerenstva)
Committee memberGoran Petrović https://orcid.org/0000-0001-5553-151X (član povjerenstva)
Committee memberIvica Jurić-Grgić https://orcid.org/0000-0002-6528-7415 (član povjerenstva)
Committee memberGoran Majstrović https://orcid.org/0000-0002-0565-4981 (član povjerenstva)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Power Engineering)
Split
Defense date and country2023-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Budući da potreba za električnom energijom konstantno raste, svijet se sve više orijentira na proizvodnju električne energije iz obnovljivih izvora, posebno iz vjetra i sunca (fluktuirajućeg karaktera) čiji udio sve više raste. Liberalizacija tržišta te razne svjetske krize mogu dovesti do varijacije cijena električne energije. Jedno od rješenja postizanja sigurnijeg i pouzdanijeg elektroenergetskog sustava zbog prisutnosti visokog udjela fluktuirajuće energije te poboljšanja zbog nestabilnosti cijena električne energije je korištenje spremišta energije. Potrebno je razviti učinkovite metode za optimiziranje rada spremišta u svrhu ostvarivanja željenog cilja. U ovoj doktorskoj disertaciji razvijen je model za optimizaciju rada spremišta u tržišno orijentiranom elektroenergetskom sustavu. Model se ne bavi specifičnostima pojedine tehnologije već optimizira rad spremišta prvenstveno za dnevni ciklus punjenja i pražnjenja. Model je razvijen u optimizacijskoj tehnici kombiniranog cjelobrojnog linearnog programiranja. Razvojem općeg modela želi se omogućiti korisniku izvođenje raznih simulacija i optimizacija spremišta energije u tržišnim uvjetima poput optimizacije samog spremišta, spremišta i nekih dodatnih izvora te cjelokupnog sustava sa svim izvorima energije. Model uzima u obzir rad ostalih najčešće korištenih proizvodnih postrojenja tako što je modeliran rad po jednog proizvodnog postrojenja koje se smatra aproksimacijom svih ostalih proizvodnih postrojenja tog istog tipa. Primjenjivost razvijenog modela prikazana je kroz četiri grupe proračuna. U prvoj grupi proračuna se istraživao utjecaj jednog parametra spremišta na optimalni režim rada spremišta. U drugoj grupi se pokazalo kako spremište utječe na smanjenje troška zbog neisporučene energije proizvodnih kompanija. Treća grupa proračuna analizirala je utjecaj veličine spremišta na rad cjelokupnog sustava. U četvrtoj grupi proračuna je istraživan utjecaj strukture elektroenergetskog sustava na rad spremišta, odnosno povećanja udjela proizvodnje akumulacijskih HE i udjela proizvodnje intermitentnih obnovljivih izvora energije.
Abstract (english)
As the electricity demand constantly grows, the world is increasingly focusing on generating electrical energy from renewable sources, especially from wind and sun (fluctuating characteristic), whose share is continuously increasing. Additionally, market liberalization and various global crises can cause electricity prices fluctuations. One of the solutions to achieve a more secure and reliable power system due to the presence of a high share of fluctuating energy and the improvement due to electricity price volatility, is the energy storage use. In addition, it is necessary to develop efficient methods for optimizing the energy storage operation in order to achieve the desired goal. In this doctoral dissertation, a optimization model for energy storage operation in a market-oriented power system, is developed. The model does not focus on the specifics of individual technology, but optimizes the storage operation primarily for the daily charging and discharging cycle. The model was developed using the optimization technique of mixed-integer linear programming. The development of the general model aims to enable the user can make various simulations and optimizations of the energy storage in a market conditions, such as the optimization of the storage system only, the energy storage with some additional production sources and the overall system with all production sources. The model takes into account the operation of other commonly used production plants by modeling the operation of a single representative production plant that approximates of all other plants of the same type. The applicability of the developed model is presented through four groups of calculations. In the first group of calculations, the influence of one storage parameter on the storage optimal operating mode, was investigated. In the second group, it was shown what influence the energy storage has on the reduction of costs, due to the undelivered energy of production companies. The third group have analysed the impact of energy storage size on the operation of the overall system. The fourth group of the calculations have investigated the influence of the power system structure on the energy storage operation, specifically the increase in the share of storage hydropower plants production and the share of intermittent renewable energy production.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:602510
Promotion2023
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
Extent127 str.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-17 07:38:29