TY  - BOOK
AU  - Ferro,Giulio
AU  - Minciardi,Riccardo
AU  - Parodi,Luca
AU  - Robba,Michela
ED  - SpringerLink (Online service)
TI  - Optimization of Electric-Vehicle Charging: Scheduling and Planning Problems 
T2  - Advances in Industrial Control,
SN  - 9783031619175
AV  - TL1-4050 
U1  - 620 23
PY  - 2024///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Vehicles
KW  - Electric power distribution
KW  - Control engineering
KW  - Mathematical optimization
KW  - Operations research
KW  - Management science
KW  - Transportation engineering
KW  - Traffic engineering
KW  - Vehicle Engineering
KW  - Energy Grids and Networks
KW  - Control and Systems Theory
KW  - Discrete Optimization
KW  - Operations Research, Management Science
KW  - Transportation Technology and Traffic Engineering
N1  - 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-61917-5
ER  -