Online Algorithms for Optimal Energy Distribution in Microgrids

  • Yu Wang
  • Shiwen Mao
  • R. Mark Nelms

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


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.


Demand Response Energy Management Microgrid Online Algorithm in Energy Smart Grid

Authors and affiliations

  • Yu Wang
    • 1
  • Shiwen Mao
    • 2
  • R. Mark Nelms
    • 3
  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

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Energy
  • Print ISBN 978-3-319-17132-6
  • Online ISBN 978-3-319-17133-3
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site