<p><span>This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.</span></p><p><span>The global electrical grid is expected to face significant energy and environmental challeng
Community Energy Networks With Storage: Modeling Frameworks for Distributed Generation
β Scribed by Kaveh Rajab Khalilpour, Anthony Vassallo (auth.)
- Publisher
- Springer Singapore
- Year
- 2016
- Tongue
- English
- Leaves
- 216
- Series
- Green Energy and Technology
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book addresses the problem of building an optimal community energy network in a decentralized distributed energy context. The book introduces a few novel modeling frameworks to assist a single customer or a community of multiple end-user customers in building their optimal electricity system/network and operating their own local energy system. The content of the book is suitable for students, academics and industrial practitioners studying or working in the area of energy management and smart grid energy networks.
β¦ Table of Contents
Front Matter....Pages i-xxxii
Introduction: Features of a Smart Energy Network....Pages 1-18
Grid Revolution with Distributed Generation and Storage....Pages 19-40
A Generic Framework for DGS Nanogrids....Pages 41-59
PV-Battery Nanogrid Systems....Pages 61-82
Sensitivity Analysis of Grid-Connected PV-Battery Systems....Pages 83-97
The βDeath Spiralβ for the Utility Industry: A Myth or Reality?....Pages 99-103
Economic Analysis of Leaving the Grid....Pages 105-130
Noncooperative Community Energy Networks....Pages 131-149
Cooperative Community Energy Networks....Pages 151-182
Back Matter....Pages 183-191
β¦ Subjects
Energy Policy, Economics and Management; Power Electronics, Electrical Machines and Networks; Energy Technology
π SIMILAR VOLUMES
This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions. The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse emissi
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