Type: Bachelor assignment
Educational programme: Computer Science
Contact: Gerwin Hoogsteen and Bart Nijenhuis
Electric vehicles will play a major role in the energy transition towards a sustainable energy supply system by changing their charging behaviour. By postponing and coordinating the charging process of an electric vehicle, we might be able to directly charge using electricity generated by local PV panels or wind turbines. This has another advantage, namely that we can avoid overloading of the physical electricity grid. To this end, we already have optimization algorithms to optimize the charging behaviour of an individual electric vehicle and algorithms to perform coordination.
However, you can imagine that controlling hundreds or thousands of charging points at several parking places in e.g., a city, might be a challenge from a scalability point of view. Hence, we need clever solutions to aggregate the flexibility of many electric vehicles into one problem instance that can be easily solved. By doing so, we can quickly gain insights in the impact of mass rollout of electric charging infrastructure in our electricity grid and possibilities of utilizing their aggregated flexibility to avoid problems and balance the energy system.
Your task will be to research, develop and implemnent an algorithm to aggregate flexibility of multiple electric vehicles and analyze how this solution of aggregated optimization performs compared to the current approach.
Workload:
- 30% theory
- 30% implementation
- 20% simulating
- 20% writing
For more information, contact Gerwin Hoogsteen and Bart Nijenhuis:
