Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije

Ružić, Mislav

master's thesis

Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. urn:nbn:hr:200:336624

Ružić, Mislav

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Chair of Power Systems and Substations

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

APA 6th Edition

Ružić, M. (2020). Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije (Master's 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:200:336624

MLA 8th Edition

Ružić, Mislav. "Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:336624

Chicago 17th Edition

Harvard

Ružić, M. (2020). 'Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 13 May 2024, https://urn.nsk.hr/urn:nbn:hr:200:336624

Vancouver

Ružić M. Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 May 13] Available at: https://urn.nsk.hr/urn:nbn:hr:200:336624

IEEE

M. Ružić, "Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:336624

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:336624

Metadata

Title	Optimalna ponuda sustava umreženih baterijskih spremnika na tržištu električne energije
Title (english)	Optimal bid of networked battery storages on the electricity market
Author	Mislav Ružić
Mentor	Goran Knežević (mentor)
Committee member	Goran Knežević (predsjednik povjerenstva)
Committee member	Krešimir Fekete (član povjerenstva)
Committee member	Danijel Topić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Power Engineering) (Chair of Power Systems and Substations) Osijek
Defense date and country	2020-07-28, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Power Engineering
Abstract	U radu je opisano davanje ponuda umreženih baterijskih spremnika na dan unaprijed tržištu električne energije. Optimizacijski model baterijskog spremnika je napravljen s ciljem maksimizacije zarade prema cijenama električne energije na CROPEX-ovim službenim stranicama. Teorijski dio opisuje općenito baterijske spremnike te je naveden jedan primjer i još je opisano tržište električne energije. Nadalje je opisan optimizacijski model, dan je matematički zapis tog modela i napravljene su simulacije. Optimizacijski model je napravljen u programskom paketu MATLAB te su izvršene četiri simulacije s različitim parametrima. Na osnovu rezultata simulacije se može zaključiti da stanje napunjenosti baterije je obrnuto proporcionalno cijeni električne energije. Povećanjem efikasnosti baterije povećava se i zarada koju baterija ostvaruje sudjelovanjem na tržištu. O budućoj cijeni će ovisiti hoće li baterija pohraniti određenu količinu energije prethodni dan ili ne. Ako je buduća cijena veća od cijena električne energije prethodnog dana onda će se pohraniti određena količina energije u suprotnom pohrana energija će ostati na minimumu.
Abstract (english)	The paper describes the bidding of battery containers on day ahead elecricity market. The optimization model of the battery was made to maximize profit according to the electricity prices on CROPEX official website. The theoretical part describes battery containers in general and one example of battery storage is given, and the electricity market is also described. The optimization model is further described, a mathematical notation of that model is given, and simulations were made. The optimization model was made in the MATLAB software package and four simulations with different parameters were made. Based on the simulation results, it can be concluded that the state of charge of the battery is inversely proportional to the price of electricity. Increasing the efficiency of the battery also increases the earnings that the battery makes by participating in the market. The future price will depend on whether the battery stores a certain amount of energy the day before or not. If the future price is higher than the electricity price of the previous day then a certain amount of energy will be stored otherwise energy storage will remain at a minimum.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:336624
Study programme	Title: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering Course: Power Engineering Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2020-09-16 11:01:43

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