EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec
Electric Vehicle (EV) technologies offer a leading-edge solution for clean transportation and have evolved substantially in recent years. The growing market and policies of governments predict EV massive penetration shortly; however, their large deployment faces some resistances such as the high pri...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
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| Series: | Vehicles |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-8921/3/3/34 |
| _version_ | 1797516991428296704 |
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| author | Alben Cardenas Cristina Guzman Wilmar Martinez |
| author_facet | Alben Cardenas Cristina Guzman Wilmar Martinez |
| author_sort | Alben Cardenas |
| collection | DOAJ |
| description | Electric Vehicle (EV) technologies offer a leading-edge solution for clean transportation and have evolved substantially in recent years. The growing market and policies of governments predict EV massive penetration shortly; however, their large deployment faces some resistances such as the high prices compared to Internal Combustion Engine (ICE) cars, the required infrastructure, the liability for novelty and standardisation. During winter periods of cold countries, since the use of heating systems increases, the peak power may produce stress to the grid. This fact, combined with EVs high penetration, during charging periods inside of high consumption hours might overload the network, becoming a threat to its stability. This article presents a framework to evaluate load shifting strategies to reschedule the EV charging to lower grid load periods. The undesirable “rebound” effect of load shifting strategies is confirmed, leading us to our EV local overnight charging strategy (EV-ONCS). Our strategy combines the forecast of residential demand using probabilistic distribution from historical consumption, prediction of the EV expected availability to charge and the charging strategy itself. EV-ONCS avoids demand rebound of classic methods and allows a peak-to-average ratio reduction demonstrating the relief for the grid with very low implementation cost. |
| first_indexed | 2024-03-10T07:08:38Z |
| format | Article |
| id | doaj.art-5bd3d695fef04d00a889f8abdb66f4ac |
| institution | Directory Open Access Journal |
| issn | 2624-8921 |
| language | English |
| last_indexed | 2024-03-10T07:08:38Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vehicles |
| spelling | doaj.art-5bd3d695fef04d00a889f8abdb66f4ac2023-11-22T15:35:35ZengMDPI AGVehicles2624-89212021-09-013355757710.3390/vehicles3030034EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in QuebecAlben Cardenas0Cristina Guzman1Wilmar Martinez2Electrical and Computer Engineering Department, University of Quebec at Trois-Rivieres, 3351, boulevard des Forges, Trois-Rivieres, QC G8Z 4M3, CanadaElectrical and Computer Engineering Department, University of Quebec at Trois-Rivieres, 3351, boulevard des Forges, Trois-Rivieres, QC G8Z 4M3, CanadaKU Leuven—EnergyVille, Thor Park 8310-bus 12135, 3600 Genk, BelgiumElectric Vehicle (EV) technologies offer a leading-edge solution for clean transportation and have evolved substantially in recent years. The growing market and policies of governments predict EV massive penetration shortly; however, their large deployment faces some resistances such as the high prices compared to Internal Combustion Engine (ICE) cars, the required infrastructure, the liability for novelty and standardisation. During winter periods of cold countries, since the use of heating systems increases, the peak power may produce stress to the grid. This fact, combined with EVs high penetration, during charging periods inside of high consumption hours might overload the network, becoming a threat to its stability. This article presents a framework to evaluate load shifting strategies to reschedule the EV charging to lower grid load periods. The undesirable “rebound” effect of load shifting strategies is confirmed, leading us to our EV local overnight charging strategy (EV-ONCS). Our strategy combines the forecast of residential demand using probabilistic distribution from historical consumption, prediction of the EV expected availability to charge and the charging strategy itself. EV-ONCS avoids demand rebound of classic methods and allows a peak-to-average ratio reduction demonstrating the relief for the grid with very low implementation cost.https://www.mdpi.com/2624-8921/3/3/34battery chargersdistribution networkelectric vehiclesLi–ion batteriespower electronics |
| spellingShingle | Alben Cardenas Cristina Guzman Wilmar Martinez EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec Vehicles battery chargers distribution network electric vehicles Li–ion batteries power electronics |
| title | EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec |
| title_full | EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec |
| title_fullStr | EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec |
| title_full_unstemmed | EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec |
| title_short | EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec |
| title_sort | ev overnight charging strategy in residential sector case of winter season in quebec |
| topic | battery chargers distribution network electric vehicles Li–ion batteries power electronics |
| url | https://www.mdpi.com/2624-8921/3/3/34 |
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