Control and monitoring of power system under the discontinuous stochasticity of electric vehicle demand

This project aims to facilitate collaboration 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.

Electric vehicles (EVs) play 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.

The project engages six PhD students and two researchers in activities covering the following topics.

  • Development of advanced control strategies for tackling the discontinuous stochasticity of EV demand
  • Development of 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. Helping 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. Establishing collaboration between the research groups involved, leading to publications in top journals and conferences. This increases participants’ employability in leading institutions in the Nordic-Baltic regions

Closed

Project Manager

Fushuan Wen, Tallinn University of Technology