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Optimal charging control of electric vehicles in smart grids

This book introduces the optimal online charging control of electric vehicles (EVs) and battery energy storage systems (BESSs) in smart grids. The ultimate goal is to minimize the total energy cost as well as reduce the fluctuation of the total power flow caused by the integration of the EVs and ren...

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Detalles Bibliográficos
Autores principales: Tang, Wanrong, Zhang, Ying Jun (Angela)
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-45862-5
http://cds.cern.ch/record/2240297
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author Tang, Wanrong
Zhang, Ying Jun (Angela)
author_facet Tang, Wanrong
Zhang, Ying Jun (Angela)
author_sort Tang, Wanrong
collection CERN
description This book introduces the optimal online charging control of electric vehicles (EVs) and battery energy storage systems (BESSs) in smart grids. The ultimate goal is to minimize the total energy cost as well as reduce the fluctuation of the total power flow caused by the integration of the EVs and renewable energy generators. Using both theoretic analysis and data-driven numerical results, the authors reveal the effectiveness and efficiency of the proposed control techniques. A major benefit of these control techniques is their practicality, since they do not rely on any non-causal knowledge of future information. Researchers, operators of power grids, and EV users will find this to be an exceptional resource. It is also suitable for advanced-level students of computer science interested in networks, electric vehicles, and energy systems.
id cern-2240297
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher Springer
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spelling cern-22402972021-04-21T19:24:45Zdoi:10.1007/978-3-319-45862-5http://cds.cern.ch/record/2240297engTang, WanrongZhang, Ying Jun (Angela)Optimal charging control of electric vehicles in smart gridsEngineeringThis book introduces the optimal online charging control of electric vehicles (EVs) and battery energy storage systems (BESSs) in smart grids. The ultimate goal is to minimize the total energy cost as well as reduce the fluctuation of the total power flow caused by the integration of the EVs and renewable energy generators. Using both theoretic analysis and data-driven numerical results, the authors reveal the effectiveness and efficiency of the proposed control techniques. A major benefit of these control techniques is their practicality, since they do not rely on any non-causal knowledge of future information. Researchers, operators of power grids, and EV users will find this to be an exceptional resource. It is also suitable for advanced-level students of computer science interested in networks, electric vehicles, and energy systems.Springeroai:cds.cern.ch:22402972017
spellingShingle Engineering
Tang, Wanrong
Zhang, Ying Jun (Angela)
Optimal charging control of electric vehicles in smart grids
title Optimal charging control of electric vehicles in smart grids
title_full Optimal charging control of electric vehicles in smart grids
title_fullStr Optimal charging control of electric vehicles in smart grids
title_full_unstemmed Optimal charging control of electric vehicles in smart grids
title_short Optimal charging control of electric vehicles in smart grids
title_sort optimal charging control of electric vehicles in smart grids
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-45862-5
http://cds.cern.ch/record/2240297
work_keys_str_mv AT tangwanrong optimalchargingcontrolofelectricvehiclesinsmartgrids
AT zhangyingjunangela optimalchargingcontrolofelectricvehiclesinsmartgrids