Giulio Ferro, Riccardo Minciardi, Luca Parodi, Michela Robba

Optimization of Electric-Vehicle Charging (eBook, PDF)

Scheduling and Planning Problems

• Format: PDF

Produktbeschreibung

This book provides models and methods for the optimal management of electrical vehicles through an interdisciplinary approach that brings together knowledge from the sectors of transportation, manufacturing and smart grids.

Optimization of Electric-Vehicle Charging explores several optimization models for the scheduling of electric vehicles in a smart grid. Both discrete-time and discrete-event approaches are considered to minimize tardiness, charging and production costs, on the basis of information like release time, due date, deadline, energy request, and availability of energy generated from renewable sources. Transportation demand is assessed, as well as user-equilibrium-based approaches, for the location of charging stations and for the assignment of users to multiple charging stations.

Employing illustrations, tables and examples to elucidate the ideas presented, this book will be of value to researchers and practitioners in the fields of electrical engineering and transportation, as well as to graduate and PhD students.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 178
• Erscheinungstermin: 1. Oktober 2024
• Englisch
• ISBN-13: 9783031619175
• Artikelnr.: 71816918

Autorenporträt

Giulio Ferro is Assistant Professor at University of Genoa. He received histhe B.S. degree in industrial engineering and, the M.S. degree in electricalpower systems engineering and the Ph.D degree in Systems engineering in 2014 and, 2016, and 2020 respectively, both from the University of Genoa (Italy), where he is currently working toward the Ph.D degree in Systems engineering). He was a visiting student at the AAC Lab at MIT, Cambridge, MA. His research work is focused on optimization and management of microgrids, distribution networks and power electronics controldecentralized optimization. He has co-authored more than 40 publications in international journals, books, invited chapters, and conference proceedings.

Riccardo Minciardi is a Fullwas Professor of Modelling and Simulation at the University of Genoa, and until 2021; his current research interests include modelling and control of automated manufacturing systems, transport planning in urban systems, risk management, and sustainable planning and optimal control of energy and environmental systems. He has co-authored more than 250 publications in international journals, books, invited chapters, and conference proceedings.

Michela Robba is an Associate Professor of Systems Engineering at University of Genoa. She received the Degree in Environmental Engineering in 2000, and the PhD in Electronic and Computer Engineering in 2004, from the University of Genova. The research activity is in the field of focused on optimization and control of smart grids, electric vehicles, renewable energy resources, and natural resources management. She is the Italian responsible at EU ESFRI (European Strategy Forum on Research Infrastructures) for the Energy area, and she is a member of the scientific board of the Italian Energy Technological Cluster, and she is the President of Liguria Region Innovation Pole on (Italy) Energy Consortium. She is Senior Editor of the IEEE Transactions on automation science and engineering journal, and Associate Editor for the journals International Journal of Robotics and Research, and Control Engineering Practice. She is the Chair of the IFAC Technical Committee 6.3 Power and Energy, Environment and Sustainable Development. She lectures for the courses "Simulation of energy and environmental systems" and "Models and methods for Energy Engineering" at Savona Campus Polytechnic School, University of Genoa. Systems. She is author of more than 120150 publications in international journals, books and proceedings of international conferences.

Luca Parodi is a Ph.D. Student in Systems Engineering Post-doc Researcher at the Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS),) of the University of Genoa. He received his B.S. degree in Industrial Engineering (2017) and), his M.Sc. in Energy Engineering (2019) and his Ph.D. in Systems Engineering (2023) at the University of Genoa. His research is mainly focused on EV optimal charging and scheduling, and Demand Response models in microgrids and smart buildingsoptimization of energy systems. He has co-authored more than 20 publications in international journals, books, invited chapters, and conference proceedings.

Inhaltsangabe

1. Introduction.- 2. Modelling, Simulation, and Optimization for the Optimal Planning and Management of Electric Vehicles: State of the Art and Challenges.- 3. Optimal Charging in Smart Grids: Discrete Time Optimization Model for Aperiodic Scheduling.- 4. Optimal Charging in Smart Grids: A Discrete Event Approach for Scheduling in Single Socket Charging Stations.- 5. Optimal Charging in Smart Grids: A Discrete Event Approach for Scheduling in Multi Socket Charging Stations.- 6. Optimal Charging in Smart Grids: A Discrete Event Approach for Periodic Scheduling.- 7. Planning for Electric Vehicles: Deterministic and Stochastic User Equilibrium Approaches for Joint Traffic Assignment and Energy Demand Assignment.- 8. Planning for Electric Vehicles: A User Equilibrium Approaches for Joint Traffic Assignment, Energy Demand Assignment and Sizing of Charging Stations.- 9. Planning for Electric Vehicles: Optimal Placement of Charging Stations in an Electrical Distribution Grid.- 10. Conclusions.

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1. Introduction.- 2. Modelling, Simulation, and Optimization for the
Optimal Planning and Management of Electric Vehicles: State of the Art and
Challenges.- 3. Optimal Charging in Smart Grids: Discrete Time Optimization
Model for Aperiodic Scheduling.- 4. Optimal Charging in Smart Grids: A
Discrete Event Approach for Scheduling in Single Socket Charging
Stations.-  5. Optimal Charging in Smart Grids: A Discrete Event Approach
for Scheduling in Multi Socket Charging Stations.- 6. Optimal Charging in
Smart Grids: A Discrete Event Approach for Periodic Scheduling.- 7.
Planning for Electric Vehicles: Deterministic and Stochastic User
Equilibrium Approaches for Joint Traffic Assignment and Energy Demand
Assignment.- 8. Planning for Electric Vehicles: A User Equilibrium
Approaches for Joint Traffic Assignment, Energy Demand Assignment and
Sizing of Charging Stations.- 9. Planning for Electric Vehicles: Optimal
Placement of Charging Stations in an Electrical Distribution Grid.- 10.
Conclusions.