| Description |
1 online resource (xi, 106 pages) : illustrations (some color) |
| Series |
SpringerBriefs in electrical and computer engineering, 2191-8120 |
|
SpringerBriefs in electrical and computer engineering.
|
| Contents |
Introduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work |
| 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 |
| Notes |
Print version record |
| In |
Springer eBooks |
| Subject |
Electric vehicles -- Batteries.
|
|
Battery charging stations (Electric vehicles)
|
|
Smart power grids.
|
|
recharging stations.
|
|
Network hardware.
|
|
Power networks, systems, stations & plants.
|
|
TECHNOLOGY & ENGINEERING -- Engineering (General)
|
|
Battery charging stations (Electric vehicles)
|
|
Electric vehicles -- Batteries
|
|
Smart power grids
|
| Form |
Electronic book
|
| Author |
Zhang, Ying Jun, author.
|
| ISBN |
9783319458625 |
|
3319458620 |
|
