Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector
As autonomous electric vehicles and car-sharing services are becoming more popular, the contribution of shared autonomous electric vehicles (SAEVs) to the future of urban transportation is getting more achievable. Like conventional electric vehicles, SAEVs can provide power grids with ancillary serv...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/7291712 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832546739832225792 |
|---|---|
| author | Mohammad Hassan Amirioun Saeid Jafarpour Ali Abdali Josep M. Guerrero Baseem Khan |
| author_facet | Mohammad Hassan Amirioun Saeid Jafarpour Ali Abdali Josep M. Guerrero Baseem Khan |
| author_sort | Mohammad Hassan Amirioun |
| collection | DOAJ |
| description | As autonomous electric vehicles and car-sharing services are becoming more popular, the contribution of shared autonomous electric vehicles (SAEVs) to the future of urban transportation is getting more achievable. Like conventional electric vehicles, SAEVs can provide power grids with ancillary services. This article proposes a new scheduling scheme for SAEV fleets within a cooperative plan to let power distribution networks benefit from the energy storage of vehicle batteries in recovering critical loads after a predictable extreme event. According to a long-term contract, the detailed request of the distribution system operator (DSO), together with desired constraints and perquisites, is sent to the SAEVs aggregator (SA) prior to the landfall of a predictable extreme event. Afterward, SA runs a targeted algorithm to schedule trip assignments and charging cycles of SAEVs so that the required constraints of DSO are satisfied. The SAEV participants will continue carrying passengers within the scheduled time horizon in addition to delivering energy to the distribution network at the scheduling deadline declared by DSO. This deadline is the time instant when the capacity of the SAEV fleet may be no more applicable to enhance the system preparedness against the approaching event. Numerical results illustrated that the proposed scheme helps improve the power grid resilience by delivering 2396.1 kWh of energy to the distribution network in addition to increasing the total income of each participant SAEV by about 130%. Thus, it is implied that the proposed method offers a win-win situation for both entities. |
| format | Article |
| id | doaj-art-7a32ed066a9b4b5d8bac2460a69642ca |
| 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-7a32ed066a9b4b5d8bac2460a69642ca2025-02-03T06:47:17ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/7291712Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation SectorMohammad Hassan Amirioun0Saeid Jafarpour1Ali Abdali2Josep M. Guerrero3Baseem Khan4Department of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical EngineeringCROM Center for Research on Microgrids AAU EnergyDepartment of Electrical and Computer EngineeringAs autonomous electric vehicles and car-sharing services are becoming more popular, the contribution of shared autonomous electric vehicles (SAEVs) to the future of urban transportation is getting more achievable. Like conventional electric vehicles, SAEVs can provide power grids with ancillary services. This article proposes a new scheduling scheme for SAEV fleets within a cooperative plan to let power distribution networks benefit from the energy storage of vehicle batteries in recovering critical loads after a predictable extreme event. According to a long-term contract, the detailed request of the distribution system operator (DSO), together with desired constraints and perquisites, is sent to the SAEVs aggregator (SA) prior to the landfall of a predictable extreme event. Afterward, SA runs a targeted algorithm to schedule trip assignments and charging cycles of SAEVs so that the required constraints of DSO are satisfied. The SAEV participants will continue carrying passengers within the scheduled time horizon in addition to delivering energy to the distribution network at the scheduling deadline declared by DSO. This deadline is the time instant when the capacity of the SAEV fleet may be no more applicable to enhance the system preparedness against the approaching event. Numerical results illustrated that the proposed scheme helps improve the power grid resilience by delivering 2396.1 kWh of energy to the distribution network in addition to increasing the total income of each participant SAEV by about 130%. Thus, it is implied that the proposed method offers a win-win situation for both entities.http://dx.doi.org/10.1155/2023/7291712 |
| spellingShingle | Mohammad Hassan Amirioun Saeid Jafarpour Ali Abdali Josep M. Guerrero Baseem Khan Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector Journal of Advanced Transportation |
| title | Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector |
| title_full | Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector |
| title_fullStr | Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector |
| title_full_unstemmed | Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector |
| title_short | Resilience-Oriented Scheduling of Shared Autonomous Electric Vehicles: A Cooperation Framework for Electrical Distribution Networks and Transportation Sector |
| title_sort | resilience oriented scheduling of shared autonomous electric vehicles a cooperation framework for electrical distribution networks and transportation sector |
| url | http://dx.doi.org/10.1155/2023/7291712 |
| work_keys_str_mv | AT mohammadhassanamirioun resilienceorientedschedulingofsharedautonomouselectricvehiclesacooperationframeworkforelectricaldistributionnetworksandtransportationsector AT saeidjafarpour resilienceorientedschedulingofsharedautonomouselectricvehiclesacooperationframeworkforelectricaldistributionnetworksandtransportationsector AT aliabdali resilienceorientedschedulingofsharedautonomouselectricvehiclesacooperationframeworkforelectricaldistributionnetworksandtransportationsector AT josepmguerrero resilienceorientedschedulingofsharedautonomouselectricvehiclesacooperationframeworkforelectricaldistributionnetworksandtransportationsector AT baseemkhan resilienceorientedschedulingofsharedautonomouselectricvehiclesacooperationframeworkforelectricaldistributionnetworksandtransportationsector |