Print Email Facebook Twitter Planning under Uncertainty for Aggregated Electric Vehicle Charging using Markov Decision Processes Title Planning under Uncertainty for Aggregated Electric Vehicle Charging using Markov Decision Processes Author Walraven, E.M.P. Spaan, M.T.J. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Technology Date 2016-02-12 Abstract The increasing penetration of renewable energy sources and electric vehicles raises important challenges related to the operation of electricity grids. For instance, the amount of power generated by wind turbines is time-varying and dependent on the weather, which makes it hard to match flexible electric vehicle demand and uncertain wind power supply. In this paper we propose a vehicle aggregation framework which uses Markov Decision Processes to control charging of multiple electric vehicles and deals with uncertainty in renewable supply. We present a grouping technique to address the scalability aspects of our framework. In experiments we show that the aggregation framework maximizes the profit of the aggregator while reducing usage of conventionally-generated power and cost of customers. Subject planning under uncertaintyelectric vehiclessmart gridsrenewable energy To reference this document use: http://resolver.tudelft.nl/uuid:333e2cea-b422-445a-a5ba-c3b3003339e7 Source International Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, 12-02-2016, Phoenix, Arizona, USA Part of collection Institutional Repository Document type conference paper Rights (c) 2016 Walraven, E.M.P. Files PDF aisgsb2016.pdf 219.9 KB Close viewer /islandora/object/uuid:333e2cea-b422-445a-a5ba-c3b3003339e7/datastream/OBJ/view