Transformer Tuesday: Accurately Prioritize Transformer Replacements with GDAC™

This is the seventh installment of our blog series, “Transformer Tuesday,” brought to you by VIA’s Will Chapman. In this series, we’ll address how leading utilities use VIA’s GDAC™ solution to manage their substation transformers with greater ease, insight, and cost effectiveness.

Electric utilities have a hard job. They have to ensure reliability to their customers in the midst of:

With constrained budgets, rising transformer costs, and longer lead times, how can utilities ensure they accurately prioritize the right transformer replacements now and in the future?

GDAC™ provides utilities with the tools needed to precisely prioritize transformer replacement 

There is a cost effective solution that provides utilities with insights into the current and projected health of transformers at a cost any utility can afford: VIA’s Global Data Asset Collaborative™ (GDAC™).  

GDAC™ provides a secure way for utilities to pool data about their transformers (including data from measurement tests like dissolved gas analysis, oil, and furan) without compromising data privacy. By pooling data from multiple utilities, the key differentiator of GDAC™, robust quantities of data are made available for artificial intelligence (AI) to train accurate models to predict transformer health 1-10 years in advance.  

GDAC™ leverages a completely transparent Condition Based Rating (CBR) system that is based on industry standards and was co-created and validated by our founding utility partners. This gives asset managers confidence in how the rating is created and helps make it easier to interpret what to do with the results.

All of these insights are made available to asset managers in one place, in the convenience of a web-based portal. Some example reports from the GDAC™ portal that our current members love:

Utilities can use the 10-Year Condition Forecast report for a bird’s eye view of their fleet’s health, compared to other GDAC™ partners.

For more actionable granularity, GDAC™’s Highest Risk Transformers page flags individual transformers that currently have issues and are forecasted to decline over the next 3 years.

Want to accurately assess your transformers current and future condition?
Send me a note on LinkedIn or email to set up some time to chat and get a free analysis of your most at risk transformers.