I. Introduction
With the continually evolving cyber-physical grid and rising penetration of distributed energy resources (DERs), cyber-physical situational awareness (CPS A) is needed for holistic observability into the interconnected, decentralized electric grid [1]. Processes such as IEEE 1547 DER grid-support functions and communication-assisted protection schemes increase reliance on communications [2], [3]. The highly intercon-nected nature of the grid with growing, distributed grid-edge presence requires greater visibility into the cyber and physical system states. It is no longer sufficient for the grid to only monitor the physical power system - the cyber-physical system must be monitored and understood to efficiently operate the evolving, cyber-physical grid as well as respond to disturbances quickly and adaptively. Achieving CPSA in the grid is a challenging goal, especially due to the multi-level nature of the grid (e.g., establishing trust between utility, aggregator, customer levels), the lack of existent cyber-physical sensors to gather necessary concurrent data, and techniques to fuse cyber-physical data for full system CPSA.