
Optimization of Electric-Vehicle Charging
Scheduling and Planning Problems
Series: Advances in Industrial Control;
- Publisher's listprice EUR 171.19
-
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 5 809 Ft off)
- Discounted price 66 809 Ft (63 627 Ft + 5% VAT)
72 618 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 2024
- Publisher Springer
- Date of Publication 2 October 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031619168
- Binding Hardback
- No. of pages178 pages
- Size 235x155 mm
- Language English
- Illustrations 7 Illustrations, black & white; 74 Illustrations, color 650
Categories
Short description:
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.
MoreLong description:
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.
MoreTable of Contents:
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.
More