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Intelligent Network Integration of Distributed Renewable Generation

  • Nadarajah Mithulananthan
  • Duong Quoc Hung
  • Kwang Y. Lee

Part of the Green Energy and Technology book series (GREEN)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
    Pages 1-19
  3. Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
    Pages 21-28
  4. Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
    Pages 29-45
  5. Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
    Pages 47-67
  6. Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
    Pages 69-87
  7. Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
    Pages 89-107
  8. Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
    Pages 109-127
  9. Back Matter
    Pages 129-135

About this book

Introduction

This book introduces several simple analytical approaches to aid the seamless integration of renewable distributed generation. It focuses on the idea of intelligent integration, which involves locating and developing suitable operational characteristics of renewable distributed generation. After reviewing the options available, the best location should be chosen, an appropriately sized operation should be installed and the most suitable operational characteristics should be adopted. Presenting these simple analytical approaches, their step-by-step implementation and a number of cases studies using test distribution systems, the book clearly demonstrates the technical, economic and environmental benefits of intelligent integration.

Keywords

Renewable Energy Integration Loss Reduction Voltage Stability Steady State Voltage Network Cost Benefit Analysis Intelligent Integration

Authors and affiliations

  • Nadarajah Mithulananthan
    • 1
  • Duong Quoc Hung
    • 2
  • Kwang Y. Lee
    • 3
  1. 1.School of Information Technology and Electrical EngineeringThe University of QueenslandBrisbaneAustralia
  2. 2.School of EngineeringDeakin UniversityGeelongAustralia
  3. 3.Department of Electrical and Computer EngineeringBaylor UniversityWacoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49271-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Energy
  • Print ISBN 978-3-319-49270-4
  • Online ISBN 978-3-319-49271-1
  • Series Print ISSN 1865-3529
  • Series Online ISSN 1865-3537
  • Buy this book on publisher's site