In 2022, the Association des véhicules électriques du Québec stated that more than 160,000 electric vehicles are present on our roads, this number is expected to increase tenfold by 2030. Producing more electricity is not enough to support this new energy need, being well equipped is a necessity in order to manage this electricity once produced. This challenge is the corner stone of this research project on bidirectional energy distribution using an aggregator for several connected vehicles at a time. Said aggregator manages energy exchanges among vehicles to supply power to the distribution network or to charge other vehicles. The aggregator assesses the vehicle’s energy needs, grid consumption, peak loads and temperature. Then, it determines how much power is needed to charge or draw from vehicles to supply the grid using artificial neural networks. Finally, this controlled power is distributed among all vehicles in an equitable manner, i.e. vehicles with the lowest charge level are prioritized. Conversely, when the aggregator establishes that the available vehicles must supply the network with power, it will draw from fully charged vehicles first, while respecting a discharge limit that protects the batteries from accelerated degradation. Results show that the aggregator promotes equitable charging and discharging while respecting owners preferences. It also limits vehicle recharging during cold periods and peak hours when grid consumption is particularly high.
| Date | 6 Oct 2023 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Kamal Al-Haddad (Supervisor) |
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Normandeau, C.-L. (Author),
Al-Haddad (Supervisor),
6 Oct 2023Student thesis: Master's thesis › Master in Engineering: Electrical Engineering