Primary supervisor
Adel Nadjaran ToosiIn recent years, the production and sales of Electric Vehicles (EVs) have been known as an important growth worldwide. This evolution is mainly due to the severe limits regarding greenhouse gas emission that cannot be respected by internal combustion vehicles. The expected growth in EV adoption creates large opportunities for grid integration, through flexible smart charging and vehicle to grid (V2G) or vehicle to premises (V2P) to moderate peak demand.
Student cohort
Aim/outline
In this project, we will look into the development of scheduling algorithms and software systems that enables EVs to participate in the grid demand response programs by either returning electricity to the grid/premise or by throttling their charging rate.
URLs/references
https://www.youtube.com/watch?v=7h9EecmLatY
https://www.youtube.com/watch?v=rB3PDWK6Vwo
https://www.virta.global/vehicle-to-grid-v2g
Required knowledge
Cloud computing and distributed systems knowledge
Python/Java programming skills
Be familiar with optimization techniques