Vis-SAGA: Visual Analytics for Situational Awareness of Grid Anomalies: Preprint
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 abnormal 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 evaluate our platform during periods of extreme weather, demonstrating its ability to assist in detecting patterns of operation that affect power availability, quality, resiliency, and service restoration.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 2001477
- Report Number(s):
- NREL/CP-2C00-86869; MainId:87644; UUID:6dc6fcc9-51f7-4edb-be7a-2e2f40bd71f3; MainAdminID:70303
- Resource Relation:
- Conference: Presented at the IEEE Symposium on Visualization for Cyber Security (VizSec), 22-28 October 2023, Melbourne, Austrailia
- Country of Publication:
- United States
- Language:
- English
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