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Estimating Balancing Capacities of Electric Vehicles on the German and Swedish grids in 2030

The rising awareness of the pollutions from transports is leading to innovations withinthe transport sector. Electric vehicles (EVs) are leading technologies riding this wave.With many countries like Germany and Sweden joining the so-called EV30@30campaign, aiming for 30% of new electric vehicles sales by 2030. These ambitionsalongside an ever increasing capacity of variable renewable energy sources (RES) inour power systems, pose a concerning challenge for TSOs to maintain proper powersystem operation. Imbalances between supply and demand are undesirable in anyelectrical power system and with the rising popularity of EVs and RES such events areonly expected to continue or even increase.Fortunately, with the recent development of V2G concepts as well as extensivestudies into the load-shifting potential of EVs, EVs presents an interesting solution forpower system balancing distributed energy storage system. With the establishment ofenergy storage systems as possible balancing reserves on the grid, this study attemptsto simulate real-time grid balancing operation of EVs to analyse their ability toimprove operation of the grid. In this study the characteristics of EVs as an energystorage system are analysed, based on present traffic behaviour, and their balancingcapacity estimated. Furthermore a brief analysis of the impacts of such an operationstrategy on the electric vehicles themselves is also carried out.The study showed that EV are capable of balancing the grid for approximately 60% ofthe time providing 55-60% of the total balancing energy required. The EVs alsoexhibited a high balancing power even at low penetration levels. However, they didshow a tendency to reach its limits and signify their inadequacy to be the solebalancing reserve. The operation also took heavy toll on the EV's batteryperformance as it could potentially reduce its life to a 1/7th of its original lifetime. Thestudy also emphasizes the need for further studies and analysis to reach a morecomprehensive conclusion.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-362809
Date January 2018
CreatorsShabir Ahamed, Zaheer Ahamed
PublisherUppsala universitet, Fasta tillståndets fysik
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationMSc ET ; 18006

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