Overview
- Analyses the impact of incorporating of renewable energies and electric vehicles in future power systems
- Proposes rigorous mathematical models from both operating and planning points of view
- Utilises illustrative and comprehensive case studies to enable full understanding of topics
Part of the book series: Green Energy and Technology (GREEN)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Power System Operation and Planning under Uncertainty provides the mathematical models and tools needed to plan and operate future power systems. It discusses the challenging task of the integration of a high penetration of renewable energies and electric vehicles within existing power systems.
This book explores the uncertainty faced by power systems that is associated with the evolution of capital costs, technical developments of immature renewable technologies and energy storage systems, the number of electrical vehicles, and the participation of electricity end users in demand response programs. It helps provide solutions, and points to areas of further research that will help resolve.
The models, tools and techniques described in this book are of interest for researches of energy systems, professionals working as power system planners or operators, and for graduate students in power engineering and operations research.
Similar content being viewed by others
Keywords
Table of contents (12 chapters)
-
Front Matter
-
Introduction and Mathematical Characterization
-
Front Matter
-
-
Planning Models
-
Back Matter
Authors and Affiliations
About the authors
Associate Professor Luis Baringo achieved his BSc, MSc and PhD degrees from the Universidad de Castilla-La Mancha, in 2009, 2010 and 2013 respectively. He then worked as a researcher at University College Dublin and ETH Zurich, before returning to Universidad de Castilla-La Mancha in 2016, where he is now an associate professor. He has published over 30 journal and conference papers, 4 book chapters and 3 books.
Associate Professor Miguel Carrión gained his BS and PhD from Universidad de Castilla-La Mancha in 2003 and 2008 respectively. He then worked in various academic positions at the same institution, before becoming Associate Professor in 2017. He has authored or co-authored over 40 journal articles, several conference papers, 3 book chapters and 1 book. His primary research interests are in operations, planning, and economics of electric energy systems, electricity markets, mathematical programming, stochastic programming.
Assistant Professor Ruth Domínguez achieved her BSc, MSc and PhD degrees from the Universidad de Castilla - La Mancha in 2010, 2011 and 2015, respectively. She worked as assistant professor in the same institution from 2015 to 2021. Currently, she is working as assistant professor at the University of Brescia in Italy. She has participated in more than 15 international conferences as invited speaker. She has published 17 journal and conference papers.
Bibliographic Information
Book Title: Electric Vehicles and Renewable Generation
Book Subtitle: Power System Operation and Planning Under Uncertainty
Authors: Luis Baringo, Miguel Carrión, Ruth Domínguez
Series Title: Green Energy and Technology
DOI: https://doi.org/10.1007/978-3-031-09079-0
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-09078-3Published: 03 January 2023
Softcover ISBN: 978-3-031-09081-3Published: 04 January 2024
eBook ISBN: 978-3-031-09079-0Published: 01 January 2023
Series ISSN: 1865-3529
Series E-ISSN: 1865-3537
Edition Number: 1
Number of Pages: XVIII, 578
Number of Illustrations: 44 b/w illustrations, 140 illustrations in colour
Topics: Energy Systems, Renewable and Green Energy, Automotive Engineering, Power Electronics, Electrical Machines and Networks, Mathematical Modeling and Industrial Mathematics