Connecting Resiliency Investments to Customer Outcomes
Delivering electricity across a service territory that has an estimated population of 14 million people and spanning more than 54,000 square miles, Oncor operates the largest pure-play wires utility in the United States. With nearly 150,000 circuit miles of transmission and distribution infrastructure, maintaining resilience at this scale is increasingly complex as Texas experiences rapid growth, and more frequent extreme weather events. In response, Oncor is executing its first 3-year, $3 billion System Resiliency Plan (SRP)—the first plan of its kind approved in Texas.
Oncor is applying a physics-backed risk modeling approach at scale to prioritize initiatives across its SRP measures that directly drive customer benefits. Oncor will share how the team has built a system-wide resiliency dashboard that integrates insights from more than two million poles spanning several workflows, including pole-loading analysis, LiDAR-based vegetation risk identification, outage performance data, and storm-response analytics, into a single operational platform.
While many resiliency programs rely on historical performance as a proxy for risk, Oncor now has ongoing visibility into risk factors such as pole utilization, vegetation encroachment, and wildfire risk areas. The dashboard also provides insight into progress across the overall scope of work and how work to date has driven customer outcomes across the service territory. Oncor will demonstrate how putting the right data inputs and engineering-grade analysis around core workflows translates operational activities into measurable improvements in customer impact.
Attendees will leave with three transferable learnings from Oncor’s experience:
- How to build confidence in underlying data to better enable risk-optimized resiliency investment. The session will detail how Oncor built trust in the data and the actions taken to de-risk it, as well as how Oncor is now conducting pole-loading analyses several times faster.
- How to digitize vegetation management and do more with less. Oncor is leveraging LiDAR and satellite data sources, combining vegetation risks (e.g., grow-in, fall-in, cross-span, hazard tree, and vine-growth) with outage, access, and cycle data to better prioritize vegetation management work.
- How to measure resiliency plan ROI. Oncor’s post-storm analysis framework provides a replicable method to evaluate the performance of areas with SRP investments during extreme weather events, measuring customer benefits by comparing results to historical data and nearby infrastructure performance.
