๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Stochastic Optimization for Distributed Energy Resources in Smart Grids

โœ Scribed by Yuanxiong Guo, Yuguang Fang, Pramod P. Khargonekar (auth.)


Publisher
Springer International Publishing
Year
2017
Tongue
English
Leaves
84
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ 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.

โœฆ Table of Contents


Front Matter....Pages i-ix
Hierarchical Architecture for Distributed Energy Resource Management....Pages 1-8
Optimal Energy Management for Smart Homes....Pages 9-34
Decentralized Coordination of Energy Consumption for Smart Neighborhoods....Pages 35-55
Risk-Constrained Optimal Energy Management for Smart Microgrids....Pages 57-73
Conclusion....Pages 75-76

โœฆ Subjects


Computer Communication Networks;Communications Engineering, Networks


๐Ÿ“œ SIMILAR VOLUMES


Distributed Energy Storage Devices in Sm
โœ Guido Carpinelli (editor), Pasquale De Falco (editor), Fabio Mottola (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› MDPI AG ๐ŸŒ English

<p>Energy storage systems have been recognized as viable solutions for implementing the smart grid paradigm, but have created challenges in terms of load levelling, integrating renewable and intermittent sources, voltage and frequency regulation, grid resiliency, improving power quality and reliabil

Distributed Energy Storage in Urban Smar
โœ Paulo F. Ribeiro, Rafael S. Salles ๐Ÿ“‚ Library ๐Ÿ“… 2023 ๐Ÿ› Institution of Engineering and Technology ๐ŸŒ English

<p><span>Renewable energy is key to stopping climate change, however, the intermittent nature of most forms of renewable energy generation poses a challenge. Energy storage is therefore a focus of research and development, particularly for urban areas with their limited space and high population den

Integration of Distributed Resources in
โœ Meng Song, Ciwei Gao ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› Springer ๐ŸŒ English

<p>The proliferation of renewable energy enhances the sustainability of power systems, but the inherent variability also poses great challenges to the planning and operation of large power grids. The corresponding electric power deficiencies can be compensated by fast ramping generators and energy s

Distributed Energy Resources in Local In
โœ Giorgio Graditi, Marialaura Di Somma ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› Elsevier ๐ŸŒ English

<p><i>Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning</i> reviews research and policy developments surrounding the optimal operation and planning of DER in the context of local integrated energy systems in the presence of multiple energy carriers, vect

From smart grids to smart cities : new c
โœ La Scala, Massimo ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› ISTE ๐ŸŒ English

This title is aimed at showing methodologies and technological solutions for energy system monitoring and control, starting from applications to electricity smart grids and ending with more unconventional approaches to multi-carrier systems: microgrids and energy hubs.</div> <br> Abstract:

Distributed Control and Optimization Tec
โœ Fanghong Guo, Changyun Wen, Yong-Duan Song ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› CRC Press ๐ŸŒ English

<P>The book aims to equalize the theoretical involvement with industrial practicality and build a bridge between academia and industry by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on indust