Plug In Electric Vehicles in Smart Grids

Charging Strategies

  • Sumedha Rajakaruna
  • Farhad Shahnia
  • Arindam Ghosh

Part of the Power Systems book series (POWSYS)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Filipe J. Soares, Pedro N. P. Barbeiro, Clara Gouveia, João A. P. Lopes
    Pages 89-137
  3. E. Xydas, C. Marmaras, L. M. Cipcigan, N. Jenkins
    Pages 139-168
  4. Irfan S. Al-Anbagi, Hussein T. Mouftah
    Pages 241-265

About this book

Introduction

This book covers the recent research advancements in the area of charging strategies that can be employed to accommodate the anticipated high deployment of Plug-in Electric Vehicles (PEVs) in smart grids. Recent literature has focused on various potential issues of uncoordinated charging of PEVs and methods of overcoming such challenges. After an introduction to charging coordination paradigms of PEVs, this book will present various ways the coordinated control can be accomplished. These innovative approaches include hierarchical coordinated control, model predictive control, optimal control strategies to minimize load variance, smart PEV load management based on load forecasting, integrating renewable energy sources such as photovoltaic arrays to supplement grid power, using wireless communication networks to coordinate the charging load of a smart grid and using market price of electricity and customers payment to coordinate the charging load. Hence, this book proposes  many new strategies proposed recently by the researchers around the world to address the issues related to coordination of charging load of PEVs in a future smart grid.

Keywords

Centralized control Charging Coordination Distribution Networks Hierarchical Coordinated Control Load Forecasting Load Variance Plug-In Electric Vehicles (PEV) Smart Grids

Editors and affiliations

  • Sumedha Rajakaruna
    • 1
  • Farhad Shahnia
    • 2
  • Arindam Ghosh
    • 3
  1. 1.Electrical and Computer EngineeringCurtin UniversityPerthAustralia
  2. 2.Electrical and Computer EngineeringCurtin UniversityPerthAustralia
  3. 3.Electrical and Computer EngineeringCurtin UniversityPerthAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-287-317-0
  • Copyright Information Springer Science+Business Media Singapore 2015
  • Publisher Name Springer, Singapore
  • eBook Packages Energy
  • Print ISBN 978-981-287-316-3
  • Online ISBN 978-981-287-317-0
  • Series Print ISSN 1612-1287
  • Series Online ISSN 1860-4676
  • About this book