國立高雄大學圖資館 |

Language: English

Back

Optimal charging control of electric...

SpringerLink (Online service)

Optimal charging control of electric vehicles in smart grids

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimal charging control of electric vehicles in smart gridsby Wanrong Tang, Ying Jun (Angela) Zhang.
Author:	Tang, Wanrong.
other author:	Zhang, Ying Jun (Angela)
Published:	Cham :Springer International Publishing :2017.
Description:	xi, 106 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electric vehiclesBatteries.
Online resource:	http://dx.doi.org/10.1007/978-3-319-45862-5
ISBN:	9783319458625$q(electronic bk.)

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$q(electronic bk.)

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

712021
Electric vehicles
--Batteries.

LC Class. No.: TL220

Dewey Class. No.: 629.2293

Optimal charging control of electric vehicles in smart grids
LDR:02077nmm a2200337 a 4500 001 507937
003 DE-He213
005 20161014103444.0
006 m d
007 cr nn 008maaau
008 171031s2017 gw s 0 eng d
020 $a 9783319458625$q(electronic bk.)
020 $a 9783319458618$q(paper)
024 7 $a 10.1007/978-3-319-45862-5 $2 doi
035 $a 978-3-319-45862-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TL220
072 7 $a THRD $2 bicssc
072 7 $a THRM $2 bicssc
072 7 $a TEC046000 $2 bisacsh
082 0 4 $a 629.2293 $2 23
090 $a TL220 $b .T164 2017
100 1 $a Tang, Wanrong. $3 770500
245 1 0 $a Optimal charging control of electric vehicles in smart grids $h [electronic resource] / $c by Wanrong Tang, Ying Jun (Angela) Zhang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xi, 106 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
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.
650 0 $a Electric vehicles $x Batteries. $3 712021
650 0 $a Battery charging stations (Electric vehicles) $3 770502
650 0 $a Smart power grids. $3 559143
650 1 4 $a Engineering. $3 210888
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 338660
650 2 4 $a Computer Communication Networks. $3 218087
700 1 $a Zhang, Ying Jun (Angela) $3 770501
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 557682
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-45862-5
950 $a Engineering (Springer-11647)