The situational intelligence solution was implemented as part of SMUD's Situational Awareness and Visual Intelligence (SAVI) initiative that is designed to improve the speed and quality of data analysis and decision-making throughout the organization's Grid Planning and Operations department.
The system correlates, analyzes and visualizes data in smart grid, distribution, outage, fire and weather systems.
SMUD is the nation's sixth-largest community-owned electric utility, serving a population of 1.4 million across 900 square miles. For some time, the company has relied on paper maps-including a 100 x 25 ft. wall map — and the experience and knowledge of its personnel to manage the electric grid. But the recent adoption of smart grid devices generated an exponential increase in the volume of data, making manual operations infeasible and creating opportunities for real-time insight into grid performance.
Now, the Space-Time Insight system quickly synthesizes numerous streams of disparate data and provides on-the-fly assessments of grid and asset health, weather, wind and fire conditions, and power supply and demand, to name a few. The system helps managers and operators respond more quickly to outages, rapidly develop switching plans, and make more-informed decisions regarding equipment maintenance and investments.
Space-Time Insight's geospatial and visual analytics displays merge and correlate data from sources as diverse as smart meters, switch sensors, weather reports and emergency systems, making the data easier for SMUD operators to digest and analyze.