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Optimal Charging Control of Electric Vehicles in Smart Grids
Details
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.
Includes supplementary material: sn.pub/extras
Inhalt
Introduction.- ORCHARD Algorithm for PEV Charging.- A MPC-based PEV Charging Scheduling.- Optimal BESS Control in Microgrids.- Conclusions and Future Work.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319458618
- Genre Information Technology
- Auflage 1st ed. 2017
- Lesemotiv Verstehen
- Anzahl Seiten 106
- Größe H8mm x B175mm x T240mm
- Jahr 2016
- EAN 9783319458618
- Format Kartonierter Einband
- ISBN 978-3-319-45861-8
- Titel Optimal Charging Control of Electric Vehicles in Smart Grids
- Autor Wanrong Tang , Ying Jun Angela Zhang
- Untertitel SpringerBriefs in Electrical and Computer Engineering
- Gewicht 200g
- Herausgeber Springer-Verlag GmbH
- Sprache Englisch