Stochastic Optimization for Distributed Energy Resources in Smart Grids

Yuanxiong Guo

ISBN 10: 3319595288 / ISBN 13: 9783319595283

Published by Springer, Berlin, Springer International Publishing, Springer, 2017

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319595283

Bibliographic Details

• Title: Stochastic Optimization for Distributed Energy Resources in Smart Grids
• Publisher: Springer, Berlin, Springer International Publishing, Springer
• Publication Date: 2017
• Language: English
• ISBN 10: 3319595288
• ISBN 13: 9783319595283
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 7D millimeters 235 millimeters width by 155 millimeters height by 7 millimeters depth
• Weight: 149 grams

About this title

Synopsis

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.