DocumentCode
2132576
Title
Stochastic aggregated battery for vehicle to building applications
Author
Gamallo, Carlos ; Fraile-Ardanuy, Jesús
Author_Institution
MAT Dept., Univ. Politec. de Madrid, Madrid, Spain
fYear
2012
fDate
9-12 Sept. 2012
Firstpage
749
Lastpage
754
Abstract
Plug in hybrid vehicles and electric vehicles can be used to minimize the total electricity cost of buildings when they are parked during the working hours. In this paper a new business model is proposed and, in particular, the design of a stochastic aggregated battery for vehicle to building applications is explained. The main function of this block is to manage an heterogeneous park of connected batteries, respecting all the individual constraints for each, and at the same time, offering to the building the closest possible approximation to the total power demand, at a minimum cost. This optimization is based on genetic algorithms. Preliminary results show that it is possible to share the energy storage capacity among all connected vehicles, allowing the module operator to obtain a markup.
Keywords
approximation theory; battery powered vehicles; building management systems; hybrid electric vehicles; building applications; electric vehicles; electricity cost; energy storage capacity; heterogeneous park; hybrid vehicles; stochastic aggregated battery; total power demand approximation; Batteries; Buildings; Electricity; Optimization; Power demand; System-on-a-chip; Vehicles; electric vehicle; genetic algorithm; optimization; vehicle to building;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
Conference_Location
Florence
Print_ISBN
978-1-4673-1453-4
Type
conf
DOI
10.1109/EnergyCon.2012.6348250
Filename
6348250
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