Stochastic Optimization for Distributed Energy Resources in Smart Grids

  • Yuanxiong Guo
  • Yuguang Fang
  • Pramod P. Khargonekar

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar
    Pages 1-8
  3. Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar
    Pages 9-34
  4. Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar
    Pages 35-55
  5. Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar
    Pages 57-73
  6. Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar
    Pages 75-76

About this book

Introduction

This brief focuses on stochastic energy optimization for distributed energy resources in smart grids. Along with a review of drivers and recent developments towards distributed energy resources, this brief presents research challenges of integrating millions of distributed energy resources into the grid. The brief then proposes a novel three-level hierarchical architecture for effectively integrating distributed energy resources into smart grids. Under the proposed hierarchical architecture, distributed energy resource management algorithms at the three levels (i.e., smart home, smart neighborhood, and smart microgrid) are developed in this brief based on stochastic optimization that can handle the involved uncertainties in the system.

Keywords

Smart grid Stochastic optimization Energy management Distributed energy resources Sustainability

Authors and affiliations

  • Yuanxiong Guo
    • 1
  • Yuguang Fang
    • 2
  • Pramod P. Khargonekar
    • 3
  1. 1.Oklahoma State UniversityStillwaterUSA
  2. 2.University of FloridaGainesvilleUSA
  3. 3.University of California, IrvineIrvineUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-59529-0
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-59528-3
  • Online ISBN 978-3-319-59529-0
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book