Use Case
The Sentient Energy Grid Analytics SystemTM
Sentient Energy’s MM3ai is an intelligent line sensor for overhead feeder lines and the ZM1TM sensor is designed for use on laterals and low load feeder segments. Both the MM3ai and ZM1 sensors detect faults, capture waveforms at 130 samples per cycle, and record load data with accuracy within +/- 2%. In addition to sensing faults, the MM3ai performs anomaly detection and reports on the feeder segments that have high numbers of anomalies that are precursors to permanent faults.
How It Works
With MM3ai and ZM1 overhead line sensors deployed along feeders and laterals, utilities benefit from a more complete understanding of the areas on the circuit with high fault and anomaly activity that should be addressed by vegetation crews. Utilities can incorporate this three-step process:
- Install sensors – Deploy MM3ai intelligent line sensors along feeders and install battery-powered ZM1 sensors on laterals and low load feeder segments.
- Identify problem feeders – Use the MM3ai Daily Report to identify feeders with high levels of precursor anomalies indicating a high likelihood of impending permanent faults.
- Direct spot trimming – Use MM3ai and ZM1 data to narrow feeder segments and laterals for inspections and spot trimmings.
Results
Vegetation management is a major effort and expense for utilities. Sentient Energy’s Grid Analytics System enables more granular visibility of system faults and anomalies allowing vegetation teams to direct spot trimming resources with greater effectiveness.
