Electric vehicle (EV) plays a key role in the green shift in transport. However, the spike in the EV demand poses new challenges to power system stable operation. Therefore, it is of great importance to develop control strategies to mitigate the adverse impact of EV demand. The modelling method for power system under the discontinuous stochasticity of EV demand was proposed at the Tallinn University of Technology, while the technology of distribution system monitoring was developed at the Technical University of Denmark. This project aims to facilitate collaboration between these two institutions for tackling the adverse impact of EV demand by developing advanced control strategies based on the available data from the monitoring system of distribution system.

This project involves 6 PhD students and 2 researchers participating in the project activities on the following topics:

  • Develop advanced control strategies for tackling the discontinuous stochasticity of EV demand;
  • Develop advanced data analytical methods for monitoring distribution system;
  • The feasibility and scalability of the proposed method is demonstrated on well-known power system test cases.

The influences of this project are twofold:

  1. This project will help the researchers to propose data-driven based monitoring and control algorithms for power distribution system with large-scale adoption of EV, facilitating the green transition of transport;
  2. This project will help establish collaboration between the research groups involved, which will lead to publications in the top journals and conferences. This will increase the participants’ employability in leading institutions in the Nordic-Baltic regions as a researcher.