Multilevel optimization models for energy storage planning and operation

doctoral thesis

• Title (croatian): Višerazinski optimizacijski modeli za planiranje i pogon spremnika energije
• Author: Kristina Pandžić; MBZ: -333992
• Mentor: Igor Kuzle (mentor)
• Committee member: Igor Kuzle (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Energy and Power Systems); Zagreb
• Defense date and country: 2021, 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: Energy storage; MPEC model; EPEC model; Multi-level modeling; Transmission power system; Mixed-integer optimization; Power system planning
• Keywords (croatian): Spremnik energije; MPEC model; EPEC model; višerazinsko modeliranje; Prijenosni sustav; Planiranje prijenosne mreže
• Language: english
• URN:NBN: urn:nbn:hr:168:747035
• Study programme: Title: 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 URL: http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=52609
• Type of resource: Text
• Extent: xii, 115 str.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-04-27 11:26:01