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Optimal charging control of electric vehicles in smart grids

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimal charging control of electric vehicles in smart grids/ by Wanrong Tang, Ying Jun (Angela) Zhang.
作者:	Tang, Wanrong.
其他作者:	Zhang, Ying Jun (Angela)
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xi, 106 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Electric vehicles - Batteries. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-45862-5
ISBN:	9783319458625

Optimal charging control of electric vehicles in smart grids
Tang, Wanrong.

Optimal charging control of electric vehicles in smart grids[electronic resource] /by Wanrong Tang, Ying Jun (Angela) Zhang. - Cham :Springer International Publishing :2017. - xi, 106 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work.

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.

ISBN: 9783319458625

Standard No.: 10.1007/978-3-319-45862-5doiSubjects--Topical Terms:

981658
Electric vehicles
--Batteries.

LC Class. No.: TL220

Dewey Class. No.: 629.2293

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505 0 $a Introduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work.
520 $a 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.
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