Electric Vehicles and Renewable Generation

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.

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

Autorentext

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.

Klappentext

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.

Inhalt

Part I: Introduction and Mathematical Characterization.- Introduction.- Modeling.- Mathematical Tools.- Part II: Operation Models.- Day-Ahead Market Scheduling Considering Renewable Energies.- Day-Ahead Market Scheduling Considering Electric Vehicles.- Bidding Strategy of Aggregators of Electric Vehicles.- Pricing Strategy of Aggregators of Electric Vehicles.- Part III: Planning Models.- Generation Expansion Planning Considering Renewable Energies.- Multi-Stage Modeling of the Generation Expansion Planning.- Generation Expanision Planning Considering Electric Vehicles.- Transmission and Distribution Expansion Planning Considering Renewables and Electric Vehicles.