Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology

Due to the rapid increase in the use of electric vehicles and instability in energy supply, the application of vehicle-to-grid (V2G) technology has gained attention in the freight transportation sector. V2G has the potential to increase the efficiency of power grid and make additional profits by uti...

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Main Authors: Jong-Hyun Ryu, Seong Wook Hwang
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2023/6674586
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author Jong-Hyun Ryu
Seong Wook Hwang
author_facet Jong-Hyun Ryu
Seong Wook Hwang
author_sort Jong-Hyun Ryu
collection DOAJ
description Due to the rapid increase in the use of electric vehicles and instability in energy supply, the application of vehicle-to-grid (V2G) technology has gained attention in the freight transportation sector. V2G has the potential to increase the efficiency of power grid and make additional profits by utilizing surplus power from electric vehicle batteries. This paper proposes an optimization model for electric trucks (ETs) to provide operational decision-making support for the freight transportation sector. The objective of the model is to minimize the total net cost, which includes charging cost, discharging reward, and time penalties, while considering changes in ET charging cost and the system marginal price. Furthermore, we conduct sensitivity analysis in the vehicle routing problem with soft time windows using ETs in the V2G system.
format Article
id doaj-art-964c72817aa044c0bd886394f07cb171
institution Kabale University
issn 2042-3195
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-964c72817aa044c0bd886394f07cb1712025-02-03T06:47:29ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/6674586Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid TechnologyJong-Hyun Ryu0Seong Wook Hwang1College of Business ManagementDepartment of Business AdministrationDue to the rapid increase in the use of electric vehicles and instability in energy supply, the application of vehicle-to-grid (V2G) technology has gained attention in the freight transportation sector. V2G has the potential to increase the efficiency of power grid and make additional profits by utilizing surplus power from electric vehicle batteries. This paper proposes an optimization model for electric trucks (ETs) to provide operational decision-making support for the freight transportation sector. The objective of the model is to minimize the total net cost, which includes charging cost, discharging reward, and time penalties, while considering changes in ET charging cost and the system marginal price. Furthermore, we conduct sensitivity analysis in the vehicle routing problem with soft time windows using ETs in the V2G system.http://dx.doi.org/10.1155/2023/6674586
spellingShingle Jong-Hyun Ryu
Seong Wook Hwang
Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology
Journal of Advanced Transportation
title Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology
title_full Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology
title_fullStr Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology
title_full_unstemmed Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology
title_short Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology
title_sort optimizing electric truck routing and charging with soft time windows using vehicle to grid technology
url http://dx.doi.org/10.1155/2023/6674586
work_keys_str_mv AT jonghyunryu optimizingelectrictruckroutingandchargingwithsofttimewindowsusingvehicletogridtechnology
AT seongwookhwang optimizingelectrictruckroutingandchargingwithsofttimewindowsusingvehicletogridtechnology