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Optimal charging control of electric vehicles in smart grids / Wanrong Tang, Ying Jun (Angela) Zhang.

By: Tang, Wanrong,, autor
Contributor(s): Zhang, Ying Jun,, autor
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in electrical and computer engineering, 2191-8120).Publisher: Cham, Switzerland : Springer, [2017]Copyright date: 2017Description: 1 recurso en línea (xi, 106 páginas) : ilustraciones (algunas a color).ISBN: 3319458620; 9783319458625.Subject: Vehículos eléctricosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work.
Abstract: "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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TL220 .T364 2017 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20022332
Total holds: 0

SpringerLink Springer Engineering eBooks 2017 English+International

Incluye referencias bibliográficas

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"--Provided by publisher.

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