Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids
<p>The number of electric vehicles (EVs) and the size of smart grid are witnessing rapid expansion in both spatial and temporal dimensions. This requires an efficient dynamic spatio-temporal allocation strategy of charging stations (CSs). Such an allocation strategy should provide acceptable c...
محفوظ في:
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| مؤلفون آخرون: | , , |
| منشور في: |
2020
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513562748125184 |
|---|---|
| author | Rachad Atat (16864194) |
| author2 | Muhammad Ismail (3176079) Erchin Serpedin (3706543) Thomas Overbye (8989070) |
| author2_role | author author author |
| author_facet | Rachad Atat (16864194) Muhammad Ismail (3176079) Erchin Serpedin (3706543) Thomas Overbye (8989070) |
| author_role | author |
| dc.creator.none.fl_str_mv | Rachad Atat (16864194) Muhammad Ismail (3176079) Erchin Serpedin (3706543) Thomas Overbye (8989070) |
| dc.date.none.fl_str_mv | 2020-01-03T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2019.2963860 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Dynamic_Joint_Allocation_of_EV_Charging_Stations_and_DGs_in_Spatio-Temporal_Expanding_Grids/24006753 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Automotive engineering Electrical engineering Information and computing sciences Distributed computing and systems software Distributed power generation Charging stations allocation Charging stations Dynamic program Electric vehicles Expanding power grid Electric vehicle charging Power grids Resource management Stochastic processes Stochastic geometry modeling |
| dc.title.none.fl_str_mv | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>The number of electric vehicles (EVs) and the size of smart grid are witnessing rapid expansion in both spatial and temporal dimensions. This requires an efficient dynamic spatio-temporal allocation strategy of charging stations (CSs). Such an allocation strategy should provide acceptable charging services at different deployment stages while meeting financial and technical constraints. As new CSs get allocated, distributed generation (DG) units need to be also dynamically allocated in both space and time to compensate for the increment in the loads due to the EV charging requests. Unfortunately, existing power grid models are not suitable to reflect such spatio-temporal evolution, and hence, new models need to be developed. In this paper, we propose a spatio-temporal expanding power grid model based on stochastic geometry. Using this flexible model, we perform a dynamic joint allocation of EV CSs and DG units based on a constrained Markov decision process. The proposed dynamic allocation strategy accounts for charging coordination mechanism within each CS, which in turn allows for maximal usage of deployed chargers. We validate the proposed stochastic geometry-based power grid model against IEEE 123-bus test system. Then, we present a case study for a 5-year CSs deployment plan.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2019.2963860" target="_blank">https://dx.doi.org/10.1109/access.2019.2963860</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_07837a3b168fa612ea845234b4c00f68 |
| identifier_str_mv | 10.1109/access.2019.2963860 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24006753 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding GridsRachad Atat (16864194)Muhammad Ismail (3176079)Erchin Serpedin (3706543)Thomas Overbye (8989070)EngineeringAutomotive engineeringElectrical engineeringInformation and computing sciencesDistributed computing and systems softwareDistributed power generationCharging stations allocationCharging stationsDynamic programElectric vehiclesExpanding power gridElectric vehicle chargingPower gridsResource managementStochastic processesStochastic geometry modeling<p>The number of electric vehicles (EVs) and the size of smart grid are witnessing rapid expansion in both spatial and temporal dimensions. This requires an efficient dynamic spatio-temporal allocation strategy of charging stations (CSs). Such an allocation strategy should provide acceptable charging services at different deployment stages while meeting financial and technical constraints. As new CSs get allocated, distributed generation (DG) units need to be also dynamically allocated in both space and time to compensate for the increment in the loads due to the EV charging requests. Unfortunately, existing power grid models are not suitable to reflect such spatio-temporal evolution, and hence, new models need to be developed. In this paper, we propose a spatio-temporal expanding power grid model based on stochastic geometry. Using this flexible model, we perform a dynamic joint allocation of EV CSs and DG units based on a constrained Markov decision process. The proposed dynamic allocation strategy accounts for charging coordination mechanism within each CS, which in turn allows for maximal usage of deployed chargers. We validate the proposed stochastic geometry-based power grid model against IEEE 123-bus test system. Then, we present a case study for a 5-year CSs deployment plan.</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2019.2963860" target="_blank">https://dx.doi.org/10.1109/access.2019.2963860</a></p>2020-01-03T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2019.2963860https://figshare.com/articles/journal_contribution/Dynamic_Joint_Allocation_of_EV_Charging_Stations_and_DGs_in_Spatio-Temporal_Expanding_Grids/24006753CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240067532020-01-03T00:00:00Z |
| spellingShingle | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids Rachad Atat (16864194) Engineering Automotive engineering Electrical engineering Information and computing sciences Distributed computing and systems software Distributed power generation Charging stations allocation Charging stations Dynamic program Electric vehicles Expanding power grid Electric vehicle charging Power grids Resource management Stochastic processes Stochastic geometry modeling |
| status_str | publishedVersion |
| title | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids |
| title_full | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids |
| title_fullStr | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids |
| title_full_unstemmed | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids |
| title_short | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids |
| title_sort | Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids |
| topic | Engineering Automotive engineering Electrical engineering Information and computing sciences Distributed computing and systems software Distributed power generation Charging stations allocation Charging stations Dynamic program Electric vehicles Expanding power grid Electric vehicle charging Power grids Resource management Stochastic processes Stochastic geometry modeling |