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Optimization of electric-vehicle cha...

Ferro, Giulio.

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Optimization of electric-vehicle charging = scheduling and planning problems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization of electric-vehicle charging/ by 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.
[NT 15003449]:	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.
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

Optimization of electric-vehicle charging = scheduling 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

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

3217627
Battery charging stations (Electric vehicles)

LC Class. No.: TL220.5

Dewey Class. No.: 629.2293

Optimization of electric-vehicle charging = scheduling 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.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
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 3217627
650 0 $a Smart power grids. $3 1567050
650 1 4 $a Vehicle Engineering. $3 3592516
650 2 4 $a Energy Grids and Networks. $3 3592502
650 2 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Discrete Optimization. $3 2054320
650 2 4 $a Operations Research, Management Science. $3 1532996
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
700 1 $a Ferro, Giulio. $3 3724406
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in industrial control. $3 1566025
856 4 0 $u https://doi.org/10.1007/978-3-031-61917-5
950 $a Engineering (SpringerNature-11647)