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.

Optimal Charging Control of Electric Vehicles in Smart Grids (SpringerBriefs in Electrical and Computer Engineering)

Computers & Technology

Tang, Wanrong

Zhang, Ying Jun (Angela)

Networking & Cloud Computing

Springer

See the best price to sell, buy, or rent books by Zhang, Ying Jun (Angela). BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Zhang, Ying Jun (Angela)

See the best price to sell, buy, or rent books by Zhang, Ying Jun (Angela). BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Optimal Charging Control of Electric Vehicles in Smart Grids (SpringerBriefs in Electrical and Computer Engineering)