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 a...

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Bibliographic Details
Main Authors: Tang, Wanrong, (Author), Zhang, Ying Jun, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, [2017]
Series: SpringerBriefs in electrical and computer engineering.
Subjects:
ISBN: 9783319458625
9783319458618
Physical Description: 1 online resource (xi, 106 pages) : illustrations (some color)

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Table of contents

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100 1 |a Tang, Wanrong,  |e author. 
245 1 0 |a Optimal charging control of electric vehicles in smart grids /  |c Wanrong Tang, Ying Jun (Angela) Zhang. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource (xi, 106 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in electrical and computer engineering,  |x 2191-8120 
504 |a Includes bibliographical references. 
505 0 |a Introduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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"--Provided by publisher. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Electric vehicles  |x Batteries. 
650 0 |a Battery charging stations (Electric vehicles) 
650 0 |a Smart power grids. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Zhang, Ying Jun,  |e author. 
776 0 8 |i Print version:  |a Tang, Wanrong.  |t Optimal charging control of electric vehicles in smart grids.  |b Springer, [2017]  |z 3319458612  |w (OCoLC)954535767 
830 0 |a SpringerBriefs in electrical and computer engineering. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-45862-5  |y Plný text 
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