System strength defines what the grid can support, and where
Increase system resilience and accelerate new connections with continuous, measurement-based insight into system strength.
“Digital technology plays a big role in energy transition. And technology like from Reactive, is giving our system operators real time information that can help to make better decisions in real time.”
Director of Board, CEN, Chile
Why system strength visibility matters
As grids evolve, system strength is becoming more dynamic and location-dependent.
New challenges include:
- Growth in large loads, including data centres
- Increasing penetration of inverter-based resources
- More complex and less predictable system behaviour
These changes are making the grid more complex and less predictable, increasing stability and resilience risk in weaker areas of the network. Utilities therefore face greater uncertainty over where and when system strength may become a constraint, with implications for secure operation and future grid development.
Location-specific visibility of system strength
Identification of weak nodes and constrained areas
Continuous insight into how strength evolves over time
Validation of planning models against real system behaviour
Support for connection, planning, and operational decisions
Clear understanding of local grid conditions for large loads
Direct measurement of short circuit strength and impedance
High-resolution signal processing of system behaviour
On-demand measurement to support operational decisions
Increase system resilience
Identify weak nodes across the network
Monitor how system strength changes by location over time
Enable real-time incident detection and reporting
Accelerate connection decisions
Assess grid readiness for large loads
Reduce uncertainty in connection studies
Support data centre and industrial load integration
Improve planning and operations
Validate models with real system measurement data
Enable more targeted interventions like protection tuning
Improve confidence in decision-making
- Validate models with real network measurements
- Understand local strength conditions at critical nodes
- Assess feasibility for new load and generation connections
- Support better planning and operational decisions
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