Tekniska lösningar för att skapa gynnsamma förhållanden i fastigheter utrustade med laddpunkter : En simuleringsstudie för projektering av olika energilösningar vid utbyggnad av laddningsinfrastruktur i fastigheter

Detta är en Uppsats för yrkesexamina på avancerad nivå från Uppsala universitet/Elektricitetslära

Sammanfattning: The electrification of the Swedish vehicle fleet is happening at a record pace and the proportion of rechargeable vehicles is increasing rapidly. An electric vehicle fleet will result in an extra demand of electrical power from an electricity grid that is already heavily strained. To achieve a successful electrification and enable a secure and stable power grid in the future, the design and development of the charging infrastructure must be carefully constructed. The aim of this thesis is to investigate how dynamic load balancing chargers and battery energy storage can be used to accomplish a sustainable charging infrastructure in parking garages. To achieve this, a simulation model has been generated in GNU Octave. Besides being applied in this project, the purpose of the model is also to be used further in upcoming projects to compare and evaluate the suitability of several power-reducing techniques. The simulations in this study are based on parking and charging behavior for two parking garages located in Gothenburg, where data over energy consumption, parking time and time of arrival have been used. The result indicates that charging with dynamic load balancing charger as well as battery energy storage can successfully be used to reduce the power demand in the buildings, where dynamic charging with prioritization proved to be the most beneficial technique. Results from the battery simulations concluded that only using the battery storage for peak shaving is not economically profitable. This could however be achieved when the battery also participates at the FCR-D upward market. Furthermore, the results from the battery simulations also demonstrate the importance of adjusting the technical settings regarding power limit for peak shaving and depth of discharge with respect to the consumption profile of the studied building. This to avoid occasions where peak shaving is desired but cannot be implemented due to capacity limitations in the battery.

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