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Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid

  • Book
  • © 2018

Overview

Authors:
  1. Ran Wang

    1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  2. Ping Wang

    1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

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  3. Gaoxi Xiao

    1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

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  • Proposes new and effective methods to handle uncertainties in the operation of smart grids
  • Provides useful insights to help system operators develop rational investment strategies
  • Helps readers quickly grasp the latest research advances
  • Includes supplementary material: sn.pub/extras

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Introduction

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 1-8

  3. Literature Review

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 9-19

  4. Demand and Supply Management in Microgrids

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 21-44

  5. Energy Generation Scheduling in Microgrids

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 45-67

  6. Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 69-81

  7. Massive Electric Vehicle Charging Involving Renewable Energy

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 83-102

  8. Hybrid Charging Control of Electric Vehicles

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 103-126

  9. Summary and Future Work

    • Ran Wang, Ping Wang, Gaoxi Xiao
    Pages 127-130

  10. Back Matter

    Pages 131-140
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Keywords

About this book

This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabilized. With random factors in the problem formulation and corresponding designed algorithms, it provides insights into how to handle uncertainties and develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids. 


Authors and Affiliations

  • College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Ran Wang

  • School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Ping Wang

  • School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Gaoxi Xiao

About the authors

Dr. Ran Wang is currently an assistant professor at College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics (NUAA), P.R. China and Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, P.R. China. He received his B.E. in Electronic and Information Engineering from Honors School, Harbin Institute of Technology (HIT), P.R. China in July 2011 and Ph.D. in Computer Science and Engineering from Nanyang Technological University (NTU), Singapore in April 2016. He was a research fellow in the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore from October 2015 to August 2016. His current research interests include intelligent management and control in Smart Grid, network performance analysis and evolution of complex networks, etc.

Dr. Gaoxi Xiao received the Ph.D. degree in computing from the Hong Kong Polytechnic University in 1998. He was a Postdoctoral Research Fellow in Polytechnic University, Brooklyn, New York in 1999; and a Visiting Scientist in the University of Texas at Dallas in 1999-2001. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2001, where he is now an Associate Professor. His research interests include complex systems and networks, optical and wireless networking, smart grid, system resilience and Internet technologies. Dr. Xiao serves as an Academic Editor for PLOS ONE.

Dr. Ping Wang received the PhD degree in electrical engineering from University of Waterloo, Canada, in 2008. Currently she is an Associate Professor in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. Her current research interests include resource allocation in multimedia wireless networks, cloud computing, and smart grid. She was a corecipient of the Best Paper Award from IEEE Wireless Communications and Networking Conference (WCNC) 2012 and IEEE International Conference on Communications (ICC) 2007.

 

Bibliographic Information

  • Book Title: Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid

  • Authors: Ran Wang, Ping Wang, Gaoxi Xiao

  • DOI: https://doi.org/10.1007/978-981-10-4250-8

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-10-4249-2Published: 29 November 2017

  • Softcover ISBN: 978-981-13-5087-0Published: 04 January 2019

  • eBook ISBN: 978-981-10-4250-8Published: 20 November 2017

  • Edition Number: 1

  • Number of Pages: XVIII, 140

  • Number of Illustrations: 3 b/w illustrations, 37 illustrations in colour

  • Topics: Power Electronics, Electrical Machines and Networks, Renewable and Green Energy, Operations Research, Management Science

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