prikaz prve stranice dokumenta Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu
No public access
master's thesis
Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:010946
Vidan, Matea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vidan, M. (2020). Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:010946

Vidan, Matea. "Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:010946

Vidan, Matea. "Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:010946

Vidan, M. (2020). 'Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:010946

Vidan M. Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:010946

M. Vidan, "Robusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:010946

Metadata
TitleRobusno određivanje optimalnih ponuda generatora na dan-unaprijed tržištu
Title (english)Robust Optimization of Generator's Offers in the Day-ahead Market
AuthorMatea Vidan
MentorHrvoje Pandžić (mentor)
Committee memberHrvoje Pandžić (predsjednik povjerenstva)
Committee memberMarko Delimar (član povjerenstva)
Committee memberTomislav Capuder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Energetska industrija raste svakim danom te se povećava i konkurencija na tržištu električne energije. Uvidjevši to, postoji potreba za razvijanjem preciznijih krivulja ponude. Razmatra se price-takers view. Price-taker sudjeluje na tržištu električne energije i ne može utjecati na cijenu na tržištu. Ideja je maksimizirati profit kroz generiranje najboljih mogućih krivulja ponude. Glavni problem kod izgradnje krivulja je nesigurnost. Nesigurnost uzrokuje veliku volatilnost što znatno otežava generiranje optimalnih krivulja ponude. Postojeći model robusne optimizacije uspoređuje se s novim modelom koji je predložen u ovom radu. Uz termalne generatore raspravlja se o optimalnoj ponudi baterijskog spremnika.
Abstract (english)
The energy industry is growing every day, thus competition on electricity market increases. Seeing that, the need for development of more accurate offering curves exists. In this thesis a price-takers view is considered. The price taker participates in pool-based electricity market and can not influence the price on the market. The idea is to maximize his profit trough generating best possible offering curves. The major problem with building offering curves is uncertainty. The uncertainty is causing great volatility which makes it much more difficult to generate optimal offering curves. Existing model of robust optimization is compared to new model proposed in this thesis. Alongside thermal generators, optimal offering of battery storage is discussed.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:010946
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-13 14:10:12