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Pregled bibliografske jedinice broj: 1133570

A Cluster-Based Model for Charging a Single-Depot Fleet of Electric Vehicles


Šepetanc, Karlo; Pandžić, Hrvoje
A Cluster-Based Model for Charging a Single-Depot Fleet of Electric Vehicles // IEEE Transactions on Smart Grid, 12 (2021), 4; 3339-3352 doi:10.1109/tsg.2021.3064272 (međunarodna recenzija, članak, znanstveni)


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Naslov
A Cluster-Based Model for Charging a Single-Depot Fleet of Electric Vehicles

Autori
Šepetanc, Karlo ; Pandžić, Hrvoje

Izvornik
IEEE Transactions on Smart Grid (1949-3053) 12 (2021), 4; 3339-3352

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
clustering ; EV fleet ; charging station ; battery model

Sažetak
This paper presents an operating model of a station that charges a single-depot and homogeneous fleet of electric vehicles (EV) performing deliveries. Both the charging station and the fleet of EVs are owned by a single delivery company. The operating model, whose goal is to find the optimal EV battery charging schedule, is based on a clustering technique that keeps track of the number of EVs with a specific battery state of energy (SoE), while considering battery degradation, variable (dis)charging efficiency and nonlinear charging speed. The proposed operating model can be used both for the day-ahead scheduling and for the intraday model-predictive-control-based adjustments. Due to its relatively low capacity as compared to other market participants, the charging station is considered to be a price taker in both markets. The price uncertainty is considered using the robust uncertainty budget. The paper also evaluates inefficiency of a commonly used charging policy, i.e., the baseline model, where every delivery vehicle is charged to at least a predetermined SoE before its departure. The presented model is evaluated using multiple case studies and sensitivity analysis. As opposed to the non-clustered baseline model, the proposed approach scales well for very large fleets. Our analysis confirms that the results of the baseline model depend on the preset SoE at departure, while the proposed model provides optimal solution without assumptions on the departing SoE.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Karlo Šepetanc (autor)

Avatar Url Hrvoje Pandžić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Šepetanc, Karlo; Pandžić, Hrvoje
A Cluster-Based Model for Charging a Single-Depot Fleet of Electric Vehicles // IEEE Transactions on Smart Grid, 12 (2021), 4; 3339-3352 doi:10.1109/tsg.2021.3064272 (međunarodna recenzija, članak, znanstveni)
Šepetanc, K. & Pandžić, H. (2021) A Cluster-Based Model for Charging a Single-Depot Fleet of Electric Vehicles. IEEE Transactions on Smart Grid, 12 (4), 3339-3352 doi:10.1109/tsg.2021.3064272.
@article{article, author = {\v{S}epetanc, Karlo and Pand\v{z}i\'{c}, Hrvoje}, year = {2021}, pages = {3339-3352}, DOI = {10.1109/tsg.2021.3064272}, keywords = {clustering, EV fleet, charging station, battery model}, journal = {IEEE Transactions on Smart Grid}, doi = {10.1109/tsg.2021.3064272}, volume = {12}, number = {4}, issn = {1949-3053}, title = {A Cluster-Based Model for Charging a Single-Depot Fleet of Electric Vehicles}, keyword = {clustering, EV fleet, charging station, battery model} }
@article{article, author = {\v{S}epetanc, Karlo and Pand\v{z}i\'{c}, Hrvoje}, year = {2021}, pages = {3339-3352}, DOI = {10.1109/tsg.2021.3064272}, keywords = {clustering, EV fleet, charging station, battery model}, journal = {IEEE Transactions on Smart Grid}, doi = {10.1109/tsg.2021.3064272}, volume = {12}, number = {4}, issn = {1949-3053}, title = {A Cluster-Based Model for Charging a Single-Depot Fleet of Electric Vehicles}, keyword = {clustering, EV fleet, charging station, battery model} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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