Overview
- Nominated as an outstanding PhD thesis by The University of Siena, Italy
- Describes predictive and optimization techniques for the control of smart grids with high penetration of renewables
- Discusses how to integrate demand response in smart building energy management systems
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (5 chapters)
Keywords
- Voltage Control in Distribution Networks
- Demand Response Management of Smart Buildings
- Model Predictive Control
- Temperature Control Systems
- Optimal Heating Control
- Electricity Market Bidding Strategies
- Exploiting Wind Speed Forecasts
- Optimizing Building Heating System Operation
- Network Voltage Sensitivity Analysis
- Day-ahead Bidding Strategies for Wind Power Systems
- Coordinated Control of Energy Storage Systems
- Integration of Renewables into Electric Power Systems
- Mitigating Over- and Undervoltage in LV Networks
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Integration of Low Carbon Technologies in Smart Grids
Authors: Donato Zarrilli
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-98358-5
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-98357-8Published: 23 August 2018
Softcover ISBN: 978-3-030-07487-6Published: 20 December 2018
eBook ISBN: 978-3-319-98358-5Published: 10 August 2018
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVII, 95
Number of Illustrations: 24 b/w illustrations, 11 illustrations in colour
Topics: Renewable and Green Energy, Control and Systems Theory, Power Electronics, Electrical Machines and Networks, Operations Research, Management Science