2027 Event Agenda

Abstract

The continued growth in residential, commercial and industrial electricity demand is placing increased pressure on existing transmission infrastructure and accelerating the need for innovative operational solutions that reflect true and additional system capacity. Portland General Electric (PGE) is addressing these challenges through the deployment of Grid‑Enhancing Technologies (GETs), with a particular focus on Dynamic Line Ratings (DLR) and Advanced Conductors. This presentation highlights PGE’s experience in evaluating, implementing and operationalizing these technologies as part of its broader GETs initiative.

PGE’s program identifies operational use cases where DLR and Advanced Conductors can provide measurable benefits such as enhanced operational flexibility, improved situational awareness and more accurate real‑time facility ratings.

The presentation will focus on the following:

·       The transition from initial pilot deployments to a scalable program for DLR, including vendor selection processes, data integration and requirements for real‑time operational adoption.

·       Compliance with FERC Order No. 881 and considerations for anticipated future rulemaking on DLR integration.

·       Comparing DLR values with PGE’s existing seasonal and ambient‑adjusted ratings, illustrating the potential of DLR to serve as the most accurate and responsive source of truth for facility ratings.

·       Key operational challenges, including data integration and validation, operator training and alignment with NERC reliability requirements.

·       Comparing PGE’s internally developed weather‑station‑based DLR solution with sensor‑based DLR technologies, highlighting lessons learned and decision criteria for determining where each approach, or a hybrid design, is best suited for deployment across PGE’s Bulk Electric System facilities.

·       Leverage data from existing DLR transmission lines in conjunction with external sources such as weather station, geographical, and asset data to project potential DLR values on transmission line candidates using AI solutions

·       Reliability and Capacity gains using DLRs for PGE Transmission Operations.