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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Summary: "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.
Bibliography: Includes bibliographical references.
ISBN: 9783319458625
9783319458618
ISSN: 2191-8120
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty