The research goal of SG-REAL is developing ‘Power System Operation and Control’ algorithms in the context of the evolving smart grid. Availability of the smart grid data such as synchrophasor data, smart meter data, distribution automation data, cyber logs provide opportunities for better control and optimization algorithms for power system operation and control precisely towards resiliency. The approach developed by my research group includes physics-driven machine learning for power grid operation and control. My existing research projects with external and internal collaborators relate to the following.
WVU Project
WSU Project
Previous Research Project