Adding power of artificial intelligence to situational awareness of modern power networks

The research team has full access to valuable PMU data assets by collaborating with an industry partner - NOJA Power. To leverage this valuable data asset, this project aims to develop an advanced artificial intelligence (AI)-based synchrophasor application toolbox by integrating existing methodologies developed by the team, including AI-based disturbance location estimation, AI-based PMU data authentication and AI-based inertia estimation. The outcome would further promote numerous PMU-based monitoring and control applications by the power network operators.  

Industry Collaborators: NOJA Power