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Descripción
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| Charging cost of electric vehicles depends on the selection of the charging strategy when operating ina spatio-temporal electricity pricing market. In such scenario, selection of the charging strategy can be critical in order to keep the charging cost minimum. Furthermore, a coordination of charging strategies is required to prevent the electric grid from overloading during peak demand periods.Hence, a cost optimization model is implementedfor individual travelers in a coordinated context. Individuals minimize their cost and are constrained by power delivery constraints in space and time.The charging strategy optimization applies to the scenario where the electric energy price varies with time and location.When all trips are fixed in time, interesting low cost charging time slots may be unavailable to a particular individual. Hence, in order to charge at such cheap moments, a shift in traveling moments is proposed in this work. Furthermore, a comparison between cost savings and the requiredagenda adaptations also is discussed in the paper. | |
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Internacional
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Si |
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Nombre congreso
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The 6th International Conference on Ambient Systems, Networks and Technologies (ANT-2015), the 5th International Conference on Sustainable Energy Information Technology (SEIT-2015) |
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Tipo de participación
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960 |
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Lugar del congreso
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London (UK) |
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Revisores
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Si |
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ISBN o ISSN
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1877-0509 |
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DOI
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doi:10.1016/j.procs.2015.05.132 |
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Fecha inicio congreso
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02/06/2015 |
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Fecha fin congreso
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05/06/2015 |
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Desde la página
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772 |
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Hasta la página
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779 |
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Título de las actas
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The 6th International Conference on Ambient Systems, Networks and Technologies (ANT-2015), the 5th International Conference on Sustainable Energy Information Technology (SEIT-2015) |