Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling
Advances in communication technologies and protocols among vehicles, charging stations, and controllers have enabled the application of scheduling techniques to prioritize EV fleet charging. From the perspective of users, residential EV charging must particularly address cost-effective solutions to...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/10/3714 |
| _version_ | 1827669180219916288 |
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| author | Jordan P. Sausen Alzenira R. Abaide Juan C. Vasquez Josep M. Guerrero |
| author_facet | Jordan P. Sausen Alzenira R. Abaide Juan C. Vasquez Josep M. Guerrero |
| author_sort | Jordan P. Sausen |
| collection | DOAJ |
| description | Advances in communication technologies and protocols among vehicles, charging stations, and controllers have enabled the application of scheduling techniques to prioritize EV fleet charging. From the perspective of users, residential EV charging must particularly address cost-effective solutions to use energy more efficiently and preserve the lifetime of the battery—the most expensive element of an EV. Considering this matter, this research addresses a residential EV charging scheduling model including battery degradation aspects when discharging. Due to the non-linear characteristics of charging and battery degradation, we consider a mixed integer non-linearly constrained formulation with the aim of scheduling the charging and discharging of EVs to satisfy the following goals: prioritizing charging, reducing charging costs and battery degradation, and limiting the power demand requested to the distribution transformer. The results shows that, when EVs are discharged before charging up within a specific state-of-charge range, degradation can be reduced by 5.3%. All charging requests are completed before the next-day departure time, with 16.35% cost reduction achieved by scheduling charging during lower tariff prices, in addition to prevention of overloading of the distribution transformer. |
| first_indexed | 2024-03-10T03:56:50Z |
| format | Article |
| id | doaj.art-2eb0a0076a6e433dac3d96c0fa2d6fd9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T03:56:50Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2eb0a0076a6e433dac3d96c0fa2d6fd92023-11-23T10:52:05ZengMDPI AGEnergies1996-10732022-05-011510371410.3390/en15103714Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential SchedulingJordan P. Sausen0Alzenira R. Abaide1Juan C. Vasquez2Josep M. Guerrero3Center of Excellence in Energy and Power Systems, Federal University of Santa Maria, Santa Maria 97105-900, BrazilCenter of Excellence in Energy and Power Systems, Federal University of Santa Maria, Santa Maria 97105-900, BrazilCenter for Research on Microgrids, Aalborg Universitet, 9000 Aalborg, DenmarkCenter for Research on Microgrids, Aalborg Universitet, 9000 Aalborg, DenmarkAdvances in communication technologies and protocols among vehicles, charging stations, and controllers have enabled the application of scheduling techniques to prioritize EV fleet charging. From the perspective of users, residential EV charging must particularly address cost-effective solutions to use energy more efficiently and preserve the lifetime of the battery—the most expensive element of an EV. Considering this matter, this research addresses a residential EV charging scheduling model including battery degradation aspects when discharging. Due to the non-linear characteristics of charging and battery degradation, we consider a mixed integer non-linearly constrained formulation with the aim of scheduling the charging and discharging of EVs to satisfy the following goals: prioritizing charging, reducing charging costs and battery degradation, and limiting the power demand requested to the distribution transformer. The results shows that, when EVs are discharged before charging up within a specific state-of-charge range, degradation can be reduced by 5.3%. All charging requests are completed before the next-day departure time, with 16.35% cost reduction achieved by scheduling charging during lower tariff prices, in addition to prevention of overloading of the distribution transformer.https://www.mdpi.com/1996-1073/15/10/3714electric vehiclesbattery degradationcharging schedulingoptimizationtransformer loading |
| spellingShingle | Jordan P. Sausen Alzenira R. Abaide Juan C. Vasquez Josep M. Guerrero Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling Energies electric vehicles battery degradation charging scheduling optimization transformer loading |
| title | Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling |
| title_full | Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling |
| title_fullStr | Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling |
| title_full_unstemmed | Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling |
| title_short | Battery-Conscious, Economic, and Prioritization-Based Electric Vehicle Residential Scheduling |
| title_sort | battery conscious economic and prioritization based electric vehicle residential scheduling |
| topic | electric vehicles battery degradation charging scheduling optimization transformer loading |
| url | https://www.mdpi.com/1996-1073/15/10/3714 |
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