Corinex has announced the launch of the Grid Intelligence Node (GIN), bringing near-real-time measurement and event detection to low-voltage feeders.
GIN provides high-precision insight into actual network conditions, creating a grid-truth layer that helps distribution system operators identify constraints, assess available capacity and verify whether grid actions delivered the intended result.
Turning feeder data into actionable grid intelligence
GIN combines high-performance broadband powerline communications with integrated current, voltage, and power-quality monitoring. Installed in secondary substations, street cabinets, and lateral branches, it gives utilities a clearer view of loading and operating conditions across the low-voltage network.
“Electrification is placing new demands on low-voltage grids, but utilities lack the information needed to see or predict where constraints are emerging,” said Sam Shi, Chief Technology Officer at Corinex. “GIN tells the DSO when, where and how much control is needed. It provides the evidence for intervention.”
Key technical capabilities include:
- Three-phase voltage and current measurement with RMS error ≤0.5%
- Measurement of power, power factor, frequency and energy
- Harmonic monitoring up to the 51st harmonic and total harmonic distortion
- Detection of voltage sags and swells, overloads and phase imbalance
- One-minute operational snapshots, 15-minute energy aggregates and optional one-second reporting
- Support for split-core CT or Rogowski coil sensors
- Direct connection to 230/400 V networks and MQTT data transmission
- An operating temperature range of −25°C to +70°C, with an IP67-rated enclosure option
GIN combines high-precision metering for secondary substations with BPL communications, allowing feeder-level measurements and power-quality data to be transmitted through the existing low-voltage network. Monitoring up to the 51st harmonic, alongside the detection of voltage sags and swells, overloads and phase imbalance, helps utilities identify operational issues where they emerge and verify the impact of grid interventions.
