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Optimal Charging Control of Electric Vehicles in Smart Grids

  • Wanrong Tang
  • Ying Jun (Angela) Zhang

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Wanrong Tang, Ying Jun (Angela) Zhang
    Pages 1-10
  3. Wanrong Tang, Ying Jun (Angela) Zhang
    Pages 11-46
  4. Wanrong Tang, Ying Jun (Angela) Zhang
    Pages 47-76
  5. Wanrong Tang, Ying Jun (Angela) Zhang
    Pages 77-101
  6. Wanrong Tang, Ying Jun (Angela) Zhang
    Pages 103-106

About this book

Introduction

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.


Keywords

Electric vehicles Smart grid Battery energy storage system Charging control Performance analysis Online algorithm design Competitive ratio Model predictive control Complexity reduction Dynamic programming

Authors and affiliations

  • Wanrong Tang
    • 1
  • Ying Jun (Angela) Zhang
    • 2
  1. 1.Department of Information EngineeringThe Chinese University of Hong KongShatinHong Kong
  2. 2.Department of Information EngineeringThe Chinese University of Hong KongShatinHong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45862-5
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-45861-8
  • Online ISBN 978-3-319-45862-5
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site
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