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Optimization of electric-vehicle chargingscheduling and planning problems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization of electric-vehicle chargingby Giulio Ferro ... [et al.].
Reminder of title:	scheduling and planning problems /
other author:	Ferro, Giulio.
Published:	Cham :Springer International Publishing :2024.
Description:	xvii, 178 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Battery charging stations (Electric vehicles)
Online resource:	https://doi.org/10.1007/978-3-031-61917-5
ISBN:	9783031619175$q(electronic bk.)

Optimization of electric-vehicle chargingscheduling and planning problems /
Optimization of electric-vehicle chargingscheduling and planning problems /[electronic resource] :by Giulio Ferro ... [et al.]. - Cham :Springer International Publishing :2024. - xvii, 178 p. :ill. (chiefly color), digital ;24 cm. - Advances in industrial control,2193-1577. - Advances in industrial control..

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.

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.

ISBN: 9783031619175$q(electronic bk.)

Standard No.: 10.1007/978-3-031-61917-5doiSubjects--Topical Terms:

770502
Battery charging stations (Electric vehicles)

LC Class. No.: TL220.5

Dewey Class. No.: 629.2293

Optimization of electric-vehicle chargingscheduling and planning problems /
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245 0 0 $a Optimization of electric-vehicle charging $h [electronic resource] : $b scheduling and planning problems / $c by Giulio Ferro ... [et al.].
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300 $a xvii, 178 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Advances in industrial control, $x 2193-1577
505 0 $a 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.
520 $a 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.
650 0 $a Battery charging stations (Electric vehicles) $3 770502
650 0 $a Smart power grids. $3 559143
650 1 4 $a Vehicle Engineering. $3 919427
650 2 4 $a Energy Grids and Networks. $3 914991
650 2 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Discrete Optimization. $3 674481
650 2 4 $a Operations Research, Management Science. $3 511451
650 2 4 $a Transportation Technology and Traffic Engineering. $3 724870
700 1 $a Ferro, Giulio. $3 982359
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advances in industrial control. $3 558134
856 4 0 $u https://doi.org/10.1007/978-3-031-61917-5
950 $a Engineering (SpringerNature-11647)