Syndetics cover image
Image from Syndetics

Stochastic Optimization for Distributed Energy Resources in Smart Grids [electronic resource] / by Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar.

By: Contributor(s): Material type: TextSeries: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: IX, 76 p. 21 illus., 3 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319595290
Subject(s): DDC classification:
  • 004.6 23
Online resources:
Contents:
1 Hierarchical Architecture for Distributed Energy Resource Management -- 2 Optimal Energy Management for Smart Homes -- 3 Decentralized Coordination of Energy Consumption for Smart Neighborhoods -- 4 Risk-Constrained Optimal Energy Management for Smart Microgrids.
Summary: 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.
No physical items for this record

1 Hierarchical Architecture for Distributed Energy Resource Management -- 2 Optimal Energy Management for Smart Homes -- 3 Decentralized Coordination of Energy Consumption for Smart Neighborhoods -- 4 Risk-Constrained Optimal Energy Management for Smart Microgrids.

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.

Licensed e-book