View source for Plug-in Vehicle Agents in TAC-Electricity

{{Masterproject
|Master name=Technical Artificial Intelligence
|Student name=Ulkan Fuat Civelek
|Project start date=2010/02/01
|Project end date=2010/07/01
|Supervisor=Mark Hoogendoorn
|Thesis title=An Agent-based Approach for Automating the Process of Charging Plug-in Electric Vehicles
|Finished=No
|Poster=Media:Posternaam.pdf
}}
The study of TAC-Energy is a Multi-Agent competitive simulation test-bed, providing opportunity to simulate research and developments of electronic agents which can manage the tasks of the consumers and energy resources in a virtual energy infrastructure. According to the TAC-Energy scenario, Plug-in Electrical Vehicles are a special type of consumers that interact with this infrastructure through aggregators. The aim of this study is modeling an intelligent Plug-in vehicle agent for TAC-Energy that acts as an intermediary between TAC-Energy grid and vehicle owners. Our proposed agent will act autonomously and be capable of making decisions about their energy needs by learning the driving behaviors and other preferences of these vehicle owners in a specified time interval. These agents will be able to make decisions about buying energy from the grid when the charging process is necessary or sell their energy back to the grid when the conditions of the electricity market are sufficiently attractive. Our objective is to determine the most suitable agent characteristics for the Plug-in Vehicle agents that can satisfy the preferences of the vehicle owners. Аs a result of this study, we will build intelligent agents that consider the preferences of the car owners and try to find out the most efficient tariff contracts for the vehicle owners.