• Solutions
    • Outage Prediction
    • Wildfire Risk Mitigation
    • Underground Monitoring
    • Grid Edge Control
    • Harmonics Measurement
    • Fault Detection & Location
    • System & Asset Monitoring
    • Public Power
  • Products
    • Advanced Applications & Analytics ›
    • Overhead Line Sensors ›
    • Underground Line Sensors ›
    • Dynamic VAR Compensator
    • Professional Services ›
    • Grid Analytics System
    • Ample Analytics
    • Grid Analytics System
    • Ample Analytics
    • MM3ai System
    • MM3 Line Sensor
    • ZM1 Line Sensor
    • MM3ai System
    • MM3 Line Sensor
    • ZM1 Line Sensor
    • UM3 Line Monitor
    • UM1 Line Sensor
    • UM3 Line Monitor
    • UM1 Line Sensor
    • VC10 and Ample
    • VC10 and Ample
    • Engineering Services
    • MM3 Fault Indicator
    • Engineering Services
    • MM3 Fault Indicator
  • Resources
    • Use Cases & Case Studies ›
    • White Papers
    • Datasheets
    • Webinars
    • Use Cases
    • Customer Stories
    • Use Cases
    • Customer Stories
  • About Us
    • Events
    • Press and News
    • Careers
    • AWS Partnership
    • Blog Overview
Contact Us

Home › Detecting Ground Faults

Use Case

Detecting Ground Faults

Download PDF
 

Distance-to-fault calculations in Advanced Distribution Management Systems (ADMS) are more accurate when line sensors combine fault magnitudes with fault type identification. Fault type identification is important because phase-to-phase faults will have different fault magnitudes than phase-to-phase-to-ground faults in the same location. If the ADMS incorrectly assumes inclusion of the ground in a fault the calculated fault location could be significantly off compared to a phase-to-phase fault. This will lead to extended fault restoration times as field crews search for the actual fault location.

Sentient Energy Line Sensors

Sentient Energy’s intelligent line sensors can be added to distribution system at locations where increased visibility is beneficial. New sensor locations can break long feeders into smaller patrol segments. Sensors can bracket hard to patrol areas and enable monitoring of laterals. With data from more locations the ADMS can zero in on the actual fault location, especially if the data is accurate and complete.
sentient-energy-fault types

How It Works

Sentient Energy’s MM3ai overhead line sensors not only detect faults and provide accurate fault magnitudes, but they identify fault types to improve accuracy of ADMS distance-to-fault calculations.
These sensors offer:

  1. Accurate fault magnitude measurements – Sentient Energy MM3ai line sensors accurately capture peak fault current magnitude up to 10kA within 2% accuracy.
  2. Identification of ground faults – MM3ai sensors and Ample® can distinguish between phase-to-phase and phase-to-phase-to-ground faults. Depending on the feeder, this distinction can significantly improve fault location.
  3. ADMS integration – The Ample Analytics platform has an application programming interface (API) to facilitate integration of sensor data into a utility’s ADMS.

Results

Sentient Energy intelligent line sensors have been proven in the field to improve the effectiveness of ADMS distance to fault calculations used to help crews locate faults quickly and for automated ADMS fault isolation and restoration schemes (FLISR, FDIR, FISR).
Sentient Energy | Enabling the Energy Transition

We help utilities deliver safe, reliable and efficient power.

Copyright © 2009–2025 Sentient Energy, Inc. All rights reserved | Privacy Policy
Contact Us

Solutions

Resources

Twitter Linkedin
  • Solutions
    • Outage Prediction
    • Wildfire Risk Mitigation
    • Underground Monitoring
    • Grid Edge Control
    • Harmonics Measurement
    • Fault Detection Location
    • System & Asset Monitoring
    • Public Power
  • Products
    • Advanced Applications & Analytics
      • Grid Analytics System
      • Ample Analytics
    • Overhead Line Sensors
      • MM3ai System
      • MM3 Line Sensor
      • ZM1 Line Sensor
    • Underground Line Sensors
      • UM3 Line Monitor
      • UM1 Line Sensor
    • Dynamic VAR Compensator
      • VC10 and Ample
    • Engineering Services
      • Engineering Services
      • MM3 Fault Indicator
  • Customer Success
  • Resources
    • Use Cases & Case Studies
    • White Papers
    • Datasheets
    • Webinars
  • About Us
    • Events
    • Press
    • Careers
    • AWS Partnership
    • Blog Overview
Contact Us
Follow Along:
Twitter Linkedin