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© 2015

Online Algorithms for Optimal Energy Distribution in Microgrids

Book

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Yu Wang, Shiwen Mao, R. Mark Nelms
    Pages 1-29
  3. Yu Wang, Shiwen Mao, R. Mark Nelms
    Pages 87-91

About this book

Introduction

Presenting an optimal energy distribution strategy for microgrids in a smart grid environment, and featuring a detailed analysis of the mathematical techniques of convex optimization and online algorithms, this book provides readers with essential content on how to achieve multi-objective optimization that takes into consideration power subscribers, energy providers and grid smoothing in microgrids. Featuring detailed theoretical proofs and simulation results that demonstrate and evaluate the correctness and effectiveness of the algorithm, this text explains step-by-step how the problem can be reformulated and solved, and how to achieve the distributed online algorithm on the basis of a centralized offline algorithm. Special attention is paid to how to apply this algorithm in practical cases and the possible future trends of the microgrid and smart grid research and applications. Offering a valuable guide to help researchers and students better understand the new smart grid, this book will also familiarize readers with the concept of the microgrid and its relationship with renewable energy.

Keywords

Demand Response Energy Management Microgrid Online Algorithm in Energy Smart Grid

Authors and affiliations

  1. 1.Department of Electrical and Computer EngineeringAuburn UniversityAuburnUSA
  2. 2.Department of Electrical and Computer EngineeringAuburn UniversityAuburnUSA
  3. 3.Department of Electrical and Computer EngineeringAuburn UniversityAuburnUSA

About the authors

YU WANG received the M.E. degree in instrument science and technology and the B.E. degree in measuring and control technology and instrumentation from Southeast University, Nanjing, China, in 2011 and 2008, respectively. Since 2011, he has been pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA. His current research interests include smart grid and optimization.
SHIWEN MAO received the Ph.D. degree in electrical and computer engineering from Polytechnic University, Brooklyn, NY, USA. Currently, he is the McWane Associate Professor with the Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA. His current research interests include cross-layer optimization of wireless networks and multimedia communications, with current focus on cognitive radios, femtocells, 60 GHz mmWave networks, free space optical networks, and smart grid. He is on the Editorial Board of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and the IEEE Communications Surveys and Tutorials. He received the 2013 IEEE ComSoc MMTC Outstanding Leadership Award and the NSF CAREER Award in 2010. He is a co-recipient of the IEEE ICC 2013 Best Paper Award and the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems.
R. M. NELMS received the B.E.E. and M.S. degrees in electrical engineering from Auburn University, AL, USA, in 1980 and 1982, respectively. He received the Ph.D. degree in electrical engineering from Virginia Polytechnic Institute and State University, Blacksburg, VA, USA, in 1987. He is currently a Professor and Chair with the Department of Electrical and Computer Engineering, Auburn University. His current research interests include power electronics, power systems, and electric machinery. In 2004, he was named an IEEE Fellow "for technical leadership and contributions to applied power electronics." He is a Registered Professional Engineer in Alabama.

Bibliographic information

  • Book Title Online Algorithms for Optimal Energy Distribution in Microgrids
  • Authors Yu Wang
    Shiwen Mao
    R. Mark Nelms
  • Series Title SpringerBriefs in Applied Sciences and Technology
  • Series Abbreviated Title SpringerBriefs in Applied Sciences
  • DOI https://doi.org/10.1007/978-3-319-17133-3
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Energy Energy (R0)
  • Softcover ISBN 978-3-319-17132-6
  • eBook ISBN 978-3-319-17133-3
  • Series ISSN 2191-530X
  • Series E-ISSN 2191-5318
  • Edition Number 1
  • Number of Pages XIII, 91
  • Number of Illustrations 3 b/w illustrations, 21 illustrations in colour
  • Topics Energy Efficiency
    Power Electronics, Electrical Machines and Networks
    Innovation/Technology Management
  • Buy this book on publisher's site
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