Model optimalnog pogona stanice za zamjenu baterija električnih vozila

master's thesis

• Title (english): Optimal operating model of an electric vehicle battery swapping station
• Author: Karlo Šepetanc
• Mentor: Hrvoje Pandžić (mentor)
• Committee member: Hrvoje Pandžić (predsjednik povjerenstva)
• Committee member: Ante Marušić (član povjerenstva)
• Committee member: Juraj Havelka (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-09-17, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Ovaj rad predstavlja diskretan klaster model stanice za zamjenu baterija i pokazuje da može profitirati sudjelovanjem na tržištu energije i rezerve. Tako pomaže energetskom sustavu zadovoljiti potrebe za rezervom u svrhu sigurnog pogona. Pokazano je da se optimalno rješenje klaster modela izračuna brže u odnosu na kontinuirani model i s minimalnim očekivanim greškama koje su dokazano nula za korištene parametre. I klaster i kontinuirani modeli su dvo-razinski i reducirani su u standardni optimizacijski problem korištenjem KKT uvjeta. Njigove funkcije cilja su linearizirane koristeći teorem jake dualnosti, dok ograničenja su mješovito-cjelobrojno linearna.

Abstract (english)

This thesis formulates a discrete cluster model for battery swapping station and shows it can profit by participating in both energy and reserve market. By doing so, it helps the power system satisfy its reserve requirements. It is shown that the cluster model computes fast relative to the existing continuous model and with minimal expected discretization errors that were proven to be zero for used parameters. Both the cluster and the continuous models are of bi-level structure and are reduced to a single-level equivalent using the KKT conditions. Their objective functions are linearized using strong duality theorem, while the constraints are mixed-integer linear.

• Keywords: stanica za zamjenu baterija; klasteriranje; dvo-razinska optimizacija; pomoćne usluge; tržište rezerve; tržište energije
• Keywords (english): battery swapping station; clustering technique; bi-level optimization; ancillary services; reserve market; energy market
• Language: english
• URN:NBN: urn:nbn:hr:168:145739
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-14 01:12:36