LEADER 04669nam 22007935 450 001 9910890179103321 005 20241002130232.0 010 $a3-031-61917-X 024 7 $a10.1007/978-3-031-61917-5 035 $a(CKB)36251638800041 035 $a(MiAaPQ)EBC31696296 035 $a(Au-PeEL)EBL31696296 035 $a(DE-He213)978-3-031-61917-5 035 $a(EXLCZ)9936251638800041 100 $a20241002d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization of Electric-Vehicle Charging $eScheduling and Planning Problems /$fby Giulio Ferro, Riccardo Minciardi, Luca Parodi, Michela Robba 205 $a1st ed. 2024. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024. 215 $a1 online resource (185 pages) 225 1 $aAdvances in Industrial Control,$x2193-1577 311 $a3-031-61916-1 327 $a1. 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. 330 $aThis book provides models and methods for the optimal management of electrical vehicles through an interdisciplinary approach that brings together knowledge from the sectors of transportation, manufacturing and smart grids. Optimization of Electric-Vehicle Charging explores several optimization models for the scheduling of electric vehicles in a smart grid. Both discrete-time and discrete-event approaches are considered to minimize tardiness, charging and production costs, on the basis of information like release time, due date, deadline, energy request, and availability of energy generated from renewable sources. Transportation demand is assessed, as well as user-equilibrium-based approaches, for the location of charging stations and for the assignment of users to multiple charging stations. Employing illustrations, tables and examples to elucidate the ideas presented, this book will be of value to researchers and practitioners in the fields of electrical engineering and transportation, as well as to graduate and PhD students. 410 0$aAdvances in Industrial Control,$x2193-1577 606 $aVehicles 606 $aElectric power distribution 606 $aControl engineering 606 $aMathematical optimization 606 $aOperations research 606 $aManagement science 606 $aTransportation engineering 606 $aTraffic engineering 606 $aVehicle Engineering 606 $aEnergy Grids and Networks 606 $aControl and Systems Theory 606 $aDiscrete Optimization 606 $aOperations Research, Management Science 606 $aTransportation Technology and Traffic Engineering 615 0$aVehicles. 615 0$aElectric power distribution. 615 0$aControl engineering. 615 0$aMathematical optimization. 615 0$aOperations research. 615 0$aManagement science. 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 14$aVehicle Engineering. 615 24$aEnergy Grids and Networks. 615 24$aControl and Systems Theory. 615 24$aDiscrete Optimization. 615 24$aOperations Research, Management Science. 615 24$aTransportation Technology and Traffic Engineering. 676 $a629.286 700 $aFerro$b Giulio$01767226 701 $aMinciardi$b Riccardo$01767227 701 $aParodi$b Luca$01767228 701 $aRobba$b Michela$01303379 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910890179103321 996 $aOptimization of Electric-Vehicle Charging$94212242 997 $aUNINA