Integration of low carbon technologies in smart grids /

Integration of low carbon technologies in smart grids /

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Bibliographic Details
Author / Creator:Zarrilli, Donato, author.
Imprint:Cham : Springer, [2018]
©2019
Description:1 online resource : illustrations (some color)
Language:English
Series:Springer theses
Springer theses.
Subject:
Smart power grids.
Smart power grids -- Design and construction.
Renewable energy sources.
Renewable energy sources.
Smart power grids.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11745549
Hidden Bibliographic Details
ISBN:9783319983585
331998358X
9783319983578
3319983571
Notes:"Doctoral thesis accepted by the University of Siena, Siena, Italy."
Includes bibliographical references.
Online resource; title from PDF title page (EBSCO, viewed August 15, 2018).
Summary:The thesis provides different opportunities and ideas to face some current challenges in the electricity systems. It focuses on the effective and efficient integration of distributed low carbon technologies in the grid of the future. Planning and operation problems for different clean solutions, such as market bidding strategies for intermittent energy producers, demand side management algorithms for smart buildings, and electrical storage options for network operators, are studied for facilitating the integration of renewable energy sources in the power system chain.
Other form:Print version: Zarrilli, Donato. Integration of low carbon technologies in smart grids. Cham : Springer, [2018] 3319983571 9783319983578
Table of Contents:
  • Intro; Supervisor's Foreword; Parts of this thesis have been published in the following articles:; Acknowledgements; Contents; Acronyms; Symbols, Operators, and Functions; 1 Introduction; 1.1 Background; 1.2 Thesis Contribution and Organization; References; 2 Bidding Renewable Energy in the Electricity Market; 2.1 Introduction; 2.2 Optimal Bidding Strategy; 2.3 Parametric Models of Wind Energy Distribution; 2.3.1 Beta-Gamma Mixture; 2.4 Exploiting Wind Speed Forecasts; 2.4.1 Offering Wind Energy Forecasts; 2.4.2 Day Classification Based on Wind Speed Forecasts; 2.5 Simulated Results
  • 2.5.1 Data Set2.5.2 Estimation of the Wind Power Distributions; 2.5.3 Computation of the Bids; 2.5.4 Comparison of the Bidding Strategies; 2.5.5 Sensitivity Analysis Under Unknown Penalties; 2.6 Conclusions; References; 3 Demand Response Management in Smart Buildings; 3.1 Introduction; 3.2 Building System Model; 3.3 DR Model; 3.4 Optimal Heating Operation Problem; 3.4.1 Sub-optimal Control Algorithm; 3.5 Test Cases; 3.5.1 Three-Zone Case; 3.5.2 Large-Scale Case; 3.6 Conclusion; References; 4 Configuration and Control of Storages in Distribution Networks; 4.1 Introduction; 4.2 Network Model
  • 4.3 OPF and SDP Relaxation4.4 ESS Configuration; 4.4.1 ESS Sizing; 4.4.2 ESS Siting; 4.4.3 ESS Cardinality Selection; 4.5 ESS Operation; 4.5.1 Receding Horizon Implementation; 4.5.2 Load and Generation Forecasting; 4.6 Experimental Results; 4.6.1 ESS Configuration; 4.6.2 ESS Operation; 4.7 Conclusions; References; 5 Conclusions and Future Research; 5.1 Summary of Contributions; 5.1.1 Bidding Strategy for WPPs; 5.1.2 DR Integration in Smart Buildings; 5.1.3 ESS Applications for Voltage Support in Distribution Networks; 5.2 Future Research Directions; Author Biography

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