prikaz prve stranice dokumenta Multilevel optimization models for energy storage planning and operation
  Download
PDF 6.8 MB
doctoral thesis
Multilevel optimization models for energy storage planning and operation
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:747035
Pandžić, Kristina
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Energy and Power Systems

Institutional repository: FER Repository

Cite this document

Pandžić, K. (2021). Multilevel optimization models for energy storage planning and operation (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:747035

Pandžić, Kristina. "Multilevel optimization models for energy storage planning and operation." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:747035

Pandžić, Kristina. "Multilevel optimization models for energy storage planning and operation." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:747035

Pandžić, K. (2021). 'Multilevel optimization models for energy storage planning and operation', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:747035

Pandžić K. Multilevel optimization models for energy storage planning and operation [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:747035

K. Pandžić, "Multilevel optimization models for energy storage planning and operation", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:747035

Metadata
TitleMultilevel optimization models for energy storage planning and operation
Title (croatian)Višerazinski optimizacijski modeli za planiranje i pogon spremnika energije
AuthorKristina Pandžić
MBZ: -333992
MentorIgor Kuzle (mentor)
Committee memberIgor Kuzle (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Energy and Power Systems)
Zagreb
Defense date and country2021, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Modern power systems are making a significant progress toward decarbonisation by increasing the shares of renewable energy sources in the system. These new technical and economic conditions make large-scale energy storage an attractive option to solve challenges induced by increased variability of the system. The first part of the thesis covers operational models that serve to maximize the profit for the storage owner by participating in different markets. The first model presents an energy storage as the only strategic actor in the day-ahead energy market performing energy arbitrage. This model is expanded to include other strategic actors. Since the storage can participate in the reserves market to improve profit-making opportunities, two models are developed. It is proven that energy storage can increase its profit by carefully modeling its strategy in both markets. The second part of the thesis presents a transmission expansion model where system operators invests in both lines and energy storage while predicting merchant storage decisions in order to minimize the overall system cost. The scientific contribution is threefold: 1) Equilibrium problem with equilibrium constraints (EPEC) model for energy storage impact on market clearing, 2) Operational model of energy storage participating in electricity and reserve market and 3) Trilevel model for coordinated planning of transmission lines and regulated and merchant energy storage.
Abstract (croatian)
Rastući udio obnovljivih izvora energije utječe na moderne elektroenergetske sustave. Promjenjivi obnovljivi izvori energije nisu upravljivi izvori i smanjuju tehničku mogućnost sustava za praćenje nesigurne potrošnje te povećavaju trošak rezerve. Spremnici energije svojim se karakteristikama nameću kao potencijalno rješenje. U prvom dijelu disertacije prikazani su modeli za pogon spremnika na dan-unaprijed tržištu energijom. U prvom modelu distribuirani spremnici energije imaju zajedničku strategiju nastupa. Ako spremnici energije imaju različite vlasnike, natječu se međusobno na tržištu kako bi ostvarili profit. Takvo ponašanje opisano je ravnotežnim modelom s ravnotežnim ograničenjima (engl. EPEC). Kako bi se utvrdila mogućnost spremnika energije za ostvarivanjem prihoda nuđenjem različitih usluga, razvijena su dva modela pogona spremnika na tržištu energijom dan-unaprijed i tržištu rezerve. U drugom dijelu disertacije prikazan je trorazinski model investicijskog problema u kojem operator sustava koordinirano ulaže u prijenosne vodove i spremnike energije dok istovremeno privatni investitor ulaže u spremnike energije. Ostvareni znanstveni doprinos: 1) Ravnotežni model s ravnotežnim ograničenjima (EPEC) za modeliranje utjecaja spremnika energije na ravnotežu tržišta električne energije, 2) Operativni model sudjelovanja spremnika energije na tržištu električne energije i na tržištu rezerve i 3) Trorazinski model za koordinirano planiranje prijenosnih vodova i spremnika energije u vlasništvu operatora sustava i privatnog investitora.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:747035
Study programmeTitle: Doctoral study programme "Electrical Engineering and Computing"
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
Catalog URLhttp://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=52609
Type of resourceText
Extentxii, 115 str.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-04-27 11:26:01