Real-Time Contingency Management

Real-Time Contingency Management

Advanced grid management that leverages real-time data collection, predictive analytics, and AI-driven responses for optimal capacity expansion and seamless renewable integration


  • Unplanned outages cost the U.S. economy $150 billion annually (U.S. Department of Energy)
  • The average cost of critical infrastructure failure for utilities is $100,000 per hour (NOAA)
  • The average weather/climate disasters per year (1980-2023): 8.5. Recent five years (2019-2023) saw a significant increase to 20.4 events per year. (NOAA)
  • Between 2019 and 2022, Renewable consumption grew on average 6% YoY. (EIA)
  • Reserve margins can't accurately reflect the variability introduced by renewables.
  • Transmission congestion costs for RTOs surged has grown over 3x between 2020 and 2022, reaching $12 billion (Grid Strategies LLC)


  • Aggregate real-time data from substations, transmission lines, and weather stations.
  • Generate a precise real-time model of the grid's status, factoring in load, generation capacity, and environmental conditions.
  • Simulate various contingencies, using predictive analytics to anticipate their effects on grid stability.
  • Continuously monitor live data against predictive models.
  • Calculate optimal responses, such as adjusting power flows or production levels, to mitigate risk.
  • Translate responses into control commands for swift reactions to maintain stability.
  • Learn from events to enhance models and algorithms for better future performance.