A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations
<p dir="ltr">Charging station location decisions are a critical element in mainstream adoption of electric vehicles (EVs). The consumer confidence in EVs can be boosted with the deployment of carefully-planned charging infrastructure that can fuel a fair number of trips. The charging...
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| مؤلفون آخرون: | , , |
| منشور في: |
2017
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| _version_ | 1864513557058551808 |
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| author | Cuiyu Kong (19686979) |
| author2 | Raka Jovanovic (17947838) Islam Bayram (19720132) Michael Devetsikiotis (18426930) |
| author2_role | author author author |
| author_facet | Cuiyu Kong (19686979) Raka Jovanovic (17947838) Islam Bayram (19720132) Michael Devetsikiotis (18426930) |
| author_role | author |
| dc.creator.none.fl_str_mv | Cuiyu Kong (19686979) Raka Jovanovic (17947838) Islam Bayram (19720132) Michael Devetsikiotis (18426930) |
| dc.date.none.fl_str_mv | 2017-05-11T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/en10050675 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_Hierarchical_Optimization_Model_for_a_Network_of_Electric_Vehicle_Charging_Stations/27082759 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering electric vehicles charging stations optimization hierarchical model resource allocation |
| dc.title.none.fl_str_mv | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Charging station location decisions are a critical element in mainstream adoption of electric vehicles (EVs). The consumer confidence in EVs can be boosted with the deployment of carefully-planned charging infrastructure that can fuel a fair number of trips. The charging station (CS) location problem is complex and differs considerably from the classical facility location literature, as the decision parameters are additionally linked to a relatively longer charging period, battery parameters, and available grid resources. In this study, we propose a three-layered system model of fast charging stations (FCSs). In the first layer, we solve the flow capturing location problem to identify the locations of the charging stations. In the second layer, we use a queuing model and introduce a resource allocation framework to optimally provision the limited grid resources. In the third layer, we consider the battery charging dynamics and develop a station policy to maximize the profit by setting maximum charging levels. The model is evaluated on the Arizona state highway system and North Dakota state network with a gravity data model, and on the City of Raleigh, North Carolina, using real traffic data. The results show that the proposed hierarchical model improves the system performance, as well as the quality of service (QoS), provided to the customers. The proposed model can efficiently assist city planners for CS location selection and system design.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en10050675" target="_blank">https://dx.doi.org/10.3390/en10050675</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_34cf10e5639e6a21d484ba31fd70cd12 |
| identifier_str_mv | 10.3390/en10050675 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/27082759 |
| publishDate | 2017 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging StationsCuiyu Kong (19686979)Raka Jovanovic (17947838)Islam Bayram (19720132)Michael Devetsikiotis (18426930)EngineeringElectrical engineeringelectric vehiclescharging stationsoptimizationhierarchical modelresource allocation<p dir="ltr">Charging station location decisions are a critical element in mainstream adoption of electric vehicles (EVs). The consumer confidence in EVs can be boosted with the deployment of carefully-planned charging infrastructure that can fuel a fair number of trips. The charging station (CS) location problem is complex and differs considerably from the classical facility location literature, as the decision parameters are additionally linked to a relatively longer charging period, battery parameters, and available grid resources. In this study, we propose a three-layered system model of fast charging stations (FCSs). In the first layer, we solve the flow capturing location problem to identify the locations of the charging stations. In the second layer, we use a queuing model and introduce a resource allocation framework to optimally provision the limited grid resources. In the third layer, we consider the battery charging dynamics and develop a station policy to maximize the profit by setting maximum charging levels. The model is evaluated on the Arizona state highway system and North Dakota state network with a gravity data model, and on the City of Raleigh, North Carolina, using real traffic data. The results show that the proposed hierarchical model improves the system performance, as well as the quality of service (QoS), provided to the customers. The proposed model can efficiently assist city planners for CS location selection and system design.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en10050675" target="_blank">https://dx.doi.org/10.3390/en10050675</a></p>2017-05-11T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/en10050675https://figshare.com/articles/journal_contribution/A_Hierarchical_Optimization_Model_for_a_Network_of_Electric_Vehicle_Charging_Stations/27082759CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/270827592017-05-11T03:00:00Z |
| spellingShingle | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations Cuiyu Kong (19686979) Engineering Electrical engineering electric vehicles charging stations optimization hierarchical model resource allocation |
| status_str | publishedVersion |
| title | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations |
| title_full | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations |
| title_fullStr | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations |
| title_full_unstemmed | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations |
| title_short | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations |
| title_sort | A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations |
| topic | Engineering Electrical engineering electric vehicles charging stations optimization hierarchical model resource allocation |