Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition
The conventional vehicle fleet worldwide has contributed to the degradation of air quality due to CO2emissions. Consequently, it has migrated from internal combustion to electric vehicles (EVs). However, it is essential to ensure the deployment of electric vehicle charging station infrastructures (E...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723007205 |
| _version_ | 1797781841635180544 |
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| author | Miguel Campaña Esteban Inga |
| author_facet | Miguel Campaña Esteban Inga |
| author_sort | Miguel Campaña |
| collection | DOAJ |
| description | The conventional vehicle fleet worldwide has contributed to the degradation of air quality due to CO2emissions. Consequently, it has migrated from internal combustion to electric vehicles (EVs). However, it is essential to ensure the deployment of electric vehicle charging station infrastructures (EVCSI) to guarantee their interoperability for the development of electric mobility. Moreover, the sustainability of EVCSI depends not only on the capacity to meet demand but also on the adequate number of terminals in the different public charging stations (CS) to reduce waiting times for battery recharging. Then to achieve an optimal sizing of charging stations, it is crucial to foresee the maximum number of vehicles that could use the different CS during a time interval. The sizing of CS must respond to real mobility constraints and technical conditions, such as the capacity of vehicular flow, the capacity of the roads according to their geometry, the trajectories marked by the users, and the possible exit of operation of some CS. Therefore, this paper addresses the problem considering four fundamental axes, which are: stochastic analysis of heterogeneous vehicular flow, a solution to the transportation problem with the capacitated multicommodity flow problem and Hungarian algorithm, analysis of the optimal number of terminals considering loading times, and finally the proposed EVCSI will be validated using the CymDist software for electrical engineering. Consequently, the computational complexity of the model is of a combinatorial type and is defined as NP-hard given the multiple variables and constraints within the transportation problem. |
| first_indexed | 2024-03-13T00:02:39Z |
| format | Article |
| id | doaj.art-2db6b6fcd4854ff1b71f0b9276ffb448 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:02:39Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-2db6b6fcd4854ff1b71f0b9276ffb4482023-07-13T05:30:06ZengElsevierEnergy Reports2352-48472023-12-01952465268Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic conditionMiguel Campaña0Esteban Inga1Power Grid and Alternative Energies Research Group, Master of Electricity Program, Instituto Superior Universitario Sucre, Quito EC170148, Ecuador; Smart Grid Research Group, Master of Electricity Program, Universidad Politécnica Salesiana, Quito 170525, Ecuador; Correspondence to: Smart Grid Research Group, Universidad Politécnica Salesiana, Quito 170525, Ecuador.Smart Grid Research Group, Master of Electricity Program, Universidad Politécnica Salesiana, Quito 170525, EcuadorThe conventional vehicle fleet worldwide has contributed to the degradation of air quality due to CO2emissions. Consequently, it has migrated from internal combustion to electric vehicles (EVs). However, it is essential to ensure the deployment of electric vehicle charging station infrastructures (EVCSI) to guarantee their interoperability for the development of electric mobility. Moreover, the sustainability of EVCSI depends not only on the capacity to meet demand but also on the adequate number of terminals in the different public charging stations (CS) to reduce waiting times for battery recharging. Then to achieve an optimal sizing of charging stations, it is crucial to foresee the maximum number of vehicles that could use the different CS during a time interval. The sizing of CS must respond to real mobility constraints and technical conditions, such as the capacity of vehicular flow, the capacity of the roads according to their geometry, the trajectories marked by the users, and the possible exit of operation of some CS. Therefore, this paper addresses the problem considering four fundamental axes, which are: stochastic analysis of heterogeneous vehicular flow, a solution to the transportation problem with the capacitated multicommodity flow problem and Hungarian algorithm, analysis of the optimal number of terminals considering loading times, and finally the proposed EVCSI will be validated using the CymDist software for electrical engineering. Consequently, the computational complexity of the model is of a combinatorial type and is defined as NP-hard given the multiple variables and constraints within the transportation problem.http://www.sciencedirect.com/science/article/pii/S2352484723007205EV charging stationsElectrical distribution networksGeoreferenced systemsVehicle flow pathsOptimizationCapacitated Multicommodity Flow Problem |
| spellingShingle | Miguel Campaña Esteban Inga Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition Energy Reports EV charging stations Electrical distribution networks Georeferenced systems Vehicle flow paths Optimization Capacitated Multicommodity Flow Problem |
| title | Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition |
| title_full | Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition |
| title_fullStr | Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition |
| title_full_unstemmed | Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition |
| title_short | Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition |
| title_sort | optimal deployment of fast charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition |
| topic | EV charging stations Electrical distribution networks Georeferenced systems Vehicle flow paths Optimization Capacitated Multicommodity Flow Problem |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723007205 |
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