東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Optimal charging control of electric...

Tang, Wanrong.

FindBook

Google Book

Amazon

博客來

Optimal charging control of electric vehicles in smart grids

紀錄類型:	書目-電子資源 : 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.
內容註:	Introduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work.
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:

2131825
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 2088133
003 DE-He213
005 20161014103444.0
006 m d
007 cr nn 008maaau
008 171013s2017 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 3217625
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 2131825
650 0 $a Battery charging stations (Electric vehicles) $3 3217627
650 0 $a Smart power grids. $3 1567050
650 1 4 $a Engineering. $3 586835
650 2 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
650 2 4 $a Computer Communication Networks. $3 775497
700 1 $a Zhang, Ying Jun (Angela) $3 3217626
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 1565565
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-45862-5
950 $a Engineering (Springer-11647)