Validating ADMS Power Flow Estimates with AMI at Scale
If you work with ADMS, AMI, or grid analytics, and want to improve operational trust in your data, this is the session for you. In January 2025, Salt River Project (SRP) completed its cutover to a new Advanced Distribution Management System (ADMS) - a huge shift for grid operations. Before heading into Arizona’s summer peak, our Distribution Operations Center wanted us to validate the system’s power flow estimates. Over a three-month sprint, six cross-functional teams engineered and executed a full-scale validation effort to compare 100 million AMI data points against 24 million ADMS-calculated estimates daily across a changing network topology. In this session, we’ll show how we used 15-minute customer AMI reads, 5-minute ADMS estimates, switch-trace mapping, and high-throughput data pipelines to evaluate the ADMS accuracy and identify opportunities for calibration.
Join this session to hear answers to questions like:
- How can you make data performant enough to perform ADMS validation?
How do you spot-check data assumptions and scale engineering expertise when looking at thousands of feeders and over a million customers?
How do you create algorithms to correctly trace circuits in a looped system and update topology based on switching when the source system algorithms take 32 hours?
How do you architect a solution that will work long-term to continuously monitor and estimate performance?