Print Email Facebook Twitter Smarter Charging Title Smarter Charging: Modeling optimal EV charging in solar parking lots for reducing peak demand, considering uncertainty in solar power forecasting and EV energy demand Author Snow, Yitzi (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor van Wijk, Ad (mentor) Ghotge, Rishabh (mentor) Degree granting institution Delft University of Technology Date 2019-08-29 Abstract Smart charging offers the potential for electric vehicles to use renewable energy more efficiently, lowering costs and improving the stability of the electricity grid. Many computer models have been developed to simulate the behavior of smart charging. Yet these models often assume that future information is known perfectly, including when vehicles will begin charging and how much solar energy will be available at that time. In reality, this information is subject to uncertainty, meaning the performance of smart charging may be worse than predicted by these models. This report details the development of an improved model which considers future uncertainty in smart charging behavior. It is determined that uncertainty does decrease the effectiveness of smart charging, but with strategies that are able to robustly consider this uncertainty smart charging can still offer tremendous benefits over traditional uncoordinated charging. Subject SolarElectric VehicleSmart chargingoptimizationforecastingmodelingSmart gridUncertain systems To reference this document use: http://resolver.tudelft.nl/uuid:e14d3c49-423e-4fd4-b729-1341ea380714 Part of collection Student theses Document type master thesis Rights © 2019 Yitzi Snow Files PDF Yitzi_Thesis_for_Upload.pdf 13.7 MB Close viewer /islandora/object/uuid:e14d3c49-423e-4fd4-b729-1341ea380714/datastream/OBJ/view