We design a class of ad-hoc data fusion algorithms that can exploit and extract reliable values from heterogeneous measurement data streams. These algorithms retrieve and identify reliable true values in an ad- hoc manner whenever required, to ensure provable time cost and response time for real-time learning. (2) We devise a class of online stream learning algorithms to estimate virtual measures. These algorithms seamlessly integrate data-driven and physical models to fine-tune model parameters, and perform online model updates only when necessary, to ensure the feasibility over fast measurement data streams. (3) The proposed Virtual Meter closes the loop of interaction between data-driven methods and physics-based methods to provide enhanced estimation of real-time value of loads and states of power distribution systems. » More ...

We propose to develop an autonomous, adaptive and Secure Distribution Protection (a2SDP) system to meet the protection challenges created by extra high penetration of PV and other DERs. » More ...

This project seeks to identify operational security vulnerabilities in T&D assets that grid integration of massive amounts of inverter-based resources (e.g. wind and solar generations, HVDC systems and inverter-interfaced energy storages) creates. We will investigate how the likely cascading outages in inverter-dominated power systems will look like as the result of new dynamics and fault responses of inverter-based resources (IBRs). » More ...

Future power systems are envisioned to transition to significant amount of renewable energy. For example, California has mandated 100% renewable energy supply by 2045 and Minnesota has passed laws to move to full renewable energy supply by 2050. New technologies such as HVDC systems will be also integrated into the conventional AC systems forging hybrid AC-DC systems. To assure reliable integration of such a massive amount of renewable inverter-based resources (IBRs), the IBRs should be augmented with grid support capabilities and compatibility features. To this end, this project proposes a multi-pronged research effort as follows » More ...