Vis-SAGA: Visual Analytics for Situational Awareness of Grid Anomalies
Graham Johnson, Kenny Gruchalla, Michael Ingram, Nalinrat Guba, Robert Cruickshank, Scott Caruso · 2023
We describe supporting near real-time situational awareness of the electric distribution system by visualizing novel data from voltage sensors deployed on existing broadband cable television network equipment. Our scalable web-based visual analytics platform supports interactive geospatial exploration, time-series analysis, and summarization of grid behavior during potentially anomalous events. The broadband cable television sensor network provides observability of the electrical distribution system at a higher local spatial resolution than is typically available to most utilities, revealing the operational state of the network and aiding in the detection of ab-normal behaviors or deviations from expected patterns, particularly across electric utility service areas. We outline the design and development of interactive geospatial and time-series visualization components and the scalable data services that supply metadata, historical, and real-time streams of sensor data across the network. We present our platform during periods of extreme weather, demon-strating its ability to assist in detecting patterns of operation that affect power availability, quality, resiliency, and service restoration.