Advanced Sensor Deployment for Distribution System State Estimation and Fault Identification

Apr 01 2022

2 min Read

White Paper

Advanced Sensor Deployment for Distribution System State Estimation and Fault Identification

This research was conducted by the National Laboratory of the Rockies (formerly NREL) in collaboration with EGM through Shell’s GameChanger Accelerator program, with funding support from the U.S. Department of Energy. 

Distribution utilities still have limited visibility beyond the primary feeder, specifically on secondary circuits where DER penetration progresses. A joint study from the National Renewable Energy Laboratory (NREL) and EGM tested how the targeted deployment of advanced sensing could improve that visibility without instrumenting the entire network.

Using the EPRI J1 test feeder with high solar PV penetration, researchers modeled EGM's Meta-Alert System across two utility use cases: distribution system state estimation and fault identification. The simulations showed that sensor placement on a relatively small share of feeder lines could materially improve network awareness and fault detection. In one set of tests, the system detected roughly 97% of single-line-to-ground faults, compared with 49% under the traditional protection scheme, and detected 100% of double-line-to-ground faults.

The study also examines what faster, more precise fault location can mean for restoration time, energy not served, and overall distribution-system performance. For utilities evaluating advanced sensing, DSSE, or faster fault identification, the full NREL and EGM paper offers the simulation methodology, deployment scenarios, and performance results.

See the complete simulation methodology and results in the downloadable PDF.

Download the PDF

Read the white paper by clicking the link below.
Related Articles

Related Blog and Articles

Real-world insights, updates, and industry perspectives

Real-Time Line Monitoring for Reclosers

How Real Time Line Monitoring Is Changing What Reclosers Can Do A look at

How AI Data Centers Are Changing Power Demand on the Grid

How AI Data Centers Are Changing Power Demand on the Grid A practical look

Preventing Outages Starts with Understanding Asset Fatigue

Preventing Outages Starts with Understanding Asset Fatigue How fatigue analysis helps utilities prioritize maintenance,