大葉大學圖書館 |

Plug in electric vehicles in smart grids[electronic resource] :energy management /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	629.2293
書名/作者:	Plug in electric vehicles in smart grids : energy management // edited by Sumedha Rajakaruna, Farhad Shahnia, Arindam Ghosh.
其他作者:	Rajakaruna, Sumedha.
出版者:	Singapore : : Springer Singapore :, 2015.
面頁冊數:	ix, 316 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Electric vehicles.
標題:	Electric vehicle industry.
標題:	Energy.
標題:	Transportation.
標題:	Control.
標題:	Energy Systems.
標題:	Energy Economics.
標題:	Measurement Science and Instrumentation.
ISBN:	9789812873026 (electronic bk.)
ISBN:	9789812873019 (paper)
內容註:	Overview of Plug-in Electric Vehicles Technologies -- Smart Coordination Approach for Power Management and Loss Minimization in Distribution Networks with PEV Penetration Based on Real Time Pricing -- Plug-in Electric Vehicles Management in Smart Distribution Systems -- An Optimal and Distributed Control Strategy for Charging Plug-in Electrical Vehicles in the Future Smart Grid -- Risk averse energy hub management considering Plug-in Electric Vehicles using Information gap decision theory.
摘要、提要註:	This book highlights the cutting-edge research on energy management within smart grids with significant deployment of Plug-in Electric Vehicles (PEV). These vehicles not only can be a significant electrical power consumer during Grid to Vehicle (G2V) charging mode, they can also be smartly utilized as a controlled source of electrical power when they are used in Vehicle to Grid (V2G) operating mode. Electricity Price, Time of Use Tariffs, Quality of Service, Social Welfare as well as electrical parameters of the network are all different criteria considered by the researchers when developing energy management techniques for PEVs. Risk averse stochastic energy hub management, maximizing profits in ancillary service markets, power market bidding strategies for fleets of PEVs, energy management of PEVs in the presence of renewable energy in distribution lines or microgrids and loss minimization in distribution networks based on smart coordination approaches using real time energy prices are some of the attractive and novel topics explored in this book. It will be an excellent reference for graduate students, researchers and industry professionals who are interested in getting a snapshot view of today’s latest research on applying various smart energy management strategies for smart grids with high penetration of PEVs.
電子資源:	http://dx.doi.org/10.1007/978-981-287-302-6

Plug in electric vehicles in smart grids[electronic resource] :energy management /
Plug in electric vehicles in smart gridsenergy management /[electronic resource] :edited by Sumedha Rajakaruna, Farhad Shahnia, Arindam Ghosh. - Singapore :Springer Singapore :2015. - ix, 316 p. :ill., digital ;24 cm. - Power systems,1612-1287. - Power systems..

Overview of Plug-in Electric Vehicles Technologies -- Smart Coordination Approach for Power Management and Loss Minimization in Distribution Networks with PEV Penetration Based on Real Time Pricing -- Plug-in Electric Vehicles Management in Smart Distribution Systems -- An Optimal and Distributed Control Strategy for Charging Plug-in Electrical Vehicles in the Future Smart Grid -- Risk averse energy hub management considering Plug-in Electric Vehicles using Information gap decision theory.

This book highlights the cutting-edge research on energy management within smart grids with significant deployment of Plug-in Electric Vehicles (PEV). These vehicles not only can be a significant electrical power consumer during Grid to Vehicle (G2V) charging mode, they can also be smartly utilized as a controlled source of electrical power when they are used in Vehicle to Grid (V2G) operating mode. Electricity Price, Time of Use Tariffs, Quality of Service, Social Welfare as well as electrical parameters of the network are all different criteria considered by the researchers when developing energy management techniques for PEVs. Risk averse stochastic energy hub management, maximizing profits in ancillary service markets, power market bidding strategies for fleets of PEVs, energy management of PEVs in the presence of renewable energy in distribution lines or microgrids and loss minimization in distribution networks based on smart coordination approaches using real time energy prices are some of the attractive and novel topics explored in this book. It will be an excellent reference for graduate students, researchers and industry professionals who are interested in getting a snapshot view of today’s latest research on applying various smart energy management strategies for smart grids with high penetration of PEVs.

ISBN: 9789812873026 (electronic bk.)

Standard No.: 10.1007/978-981-287-302-6doiSubjects--Topical Terms:

452478
Electric vehicles.

LC Class. No.: TL220 / .P58 2015

Dewey Class. No.: 629.2293

Plug in electric vehicles in smart grids[electronic resource] :energy management /
LDR:02850nam a2200325 a 4500 001 425370
003 DE-He213
005 20150706095115.0
006 m d
007 cr nn 008maaau
008 151119s2015 si s 0 eng d
020 $a 9789812873026 (electronic bk.)
020 $a 9789812873019 (paper)
024 7 $a 10.1007/978-981-287-302-6 $2 doi
035 $a 978-981-287-302-6
040 $a GP $c GP
041 0 $a eng
050 4 $a TL220 $b .P58 2015
072 7 $a THRB $2 bicssc
072 7 $a TEC031000 $2 bisacsh
082 0 4 $a 629.2293 $2 23
090 $a TL220 $b .P733 2015
245 0 0 $a Plug in electric vehicles in smart grids $h [electronic resource] : $b energy management / $c edited by Sumedha Rajakaruna, Farhad Shahnia, Arindam Ghosh.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2015.
300 $a ix, 316 p. : $b ill., digital ; $c 24 cm.
490 1 $a Power systems, $x 1612-1287
505 0 $a Overview of Plug-in Electric Vehicles Technologies -- Smart Coordination Approach for Power Management and Loss Minimization in Distribution Networks with PEV Penetration Based on Real Time Pricing -- Plug-in Electric Vehicles Management in Smart Distribution Systems -- An Optimal and Distributed Control Strategy for Charging Plug-in Electrical Vehicles in the Future Smart Grid -- Risk averse energy hub management considering Plug-in Electric Vehicles using Information gap decision theory.
520 $a This book highlights the cutting-edge research on energy management within smart grids with significant deployment of Plug-in Electric Vehicles (PEV). These vehicles not only can be a significant electrical power consumer during Grid to Vehicle (G2V) charging mode, they can also be smartly utilized as a controlled source of electrical power when they are used in Vehicle to Grid (V2G) operating mode. Electricity Price, Time of Use Tariffs, Quality of Service, Social Welfare as well as electrical parameters of the network are all different criteria considered by the researchers when developing energy management techniques for PEVs. Risk averse stochastic energy hub management, maximizing profits in ancillary service markets, power market bidding strategies for fleets of PEVs, energy management of PEVs in the presence of renewable energy in distribution lines or microgrids and loss minimization in distribution networks based on smart coordination approaches using real time energy prices are some of the attractive and novel topics explored in this book. It will be an excellent reference for graduate students, researchers and industry professionals who are interested in getting a snapshot view of today’s latest research on applying various smart energy management strategies for smart grids with high penetration of PEVs.
650 0 $a Electric vehicles. $3 452478
650 0 $a Electric vehicle industry. $3 604228
650 1 4 $a Energy. $3 422946
650 2 4 $a Transportation. $3 423534
650 2 4 $a Control. $3 463886
650 2 4 $a Energy Systems. $3 464757
650 2 4 $a Energy Economics. $3 463837
650 2 4 $a Measurement Science and Instrumentation. $3 465064
700 1 $a Rajakaruna, Sumedha. $3 604225
700 1 $a Shahnia, Farhad. $3 604226
700 1 $a Ghosh, Arindam. $3 604227
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Power systems. $3 418328
856 4 0 $u http://dx.doi.org/10.1007/978-981-287-302-6
950 $a Energy (Springer-40367)