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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.
| Autorius: | Giulio Ferro, Michela Robba, Luca Parodi, Riccardo Minciardi, |
| Serija: | Advances in Industrial Control |
| Leidėjas: | Springer International Publishing |
| Išleidimo metai: | 2024 |
| Knygos puslapių skaičius: | 196 |
| ISBN-10: | 3031619161 |
| ISBN-13: | 9783031619168 |
| Formatas: | 241 x 160 x 16 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Optimization of Electric-Vehicle Charging: Scheduling and Planning Problems“
