Doctoral student position at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology.
Project description
As a promising smart grid technology, microgrid has attracted great attention in the modern grid for the renewable energy integration as well as the transportation electrification. The microgrid is a typical cyber-physical system with sophisticated software-based control and communication networks, which are vulnerable under cyberattacks. Moreover, microgrid is a power converter dominated grid, which suffers low inertia and stability challenges. This PhD project aims to utilize artificial intelligence methods (e.g., deep reinforcement learning) and data with advanced control methods to develop smart and resilient microgrids with guaranteed stability, security and resilience under various cyberattacks and disturbances. The method will also be extended for large scale grids. This project is funded by WASP.
Supervision: Associate Professor, Qianwen Xu.