At the recent CIGRE Grid of the Future in Reston, VA a team of engineers from PJM, AEP Transmission and LineVision were awarded the top prize in the Next Generation Network paper competition. The paper documented results from a research agreement to explore the potential economic impacts of Dynamic Line Ratings (DLR) on a highly congested line in the PJM footprint. This project was made possible through research funding and project oversight by the U.S. Department of Energy and Oak Ridge National Laboratory.
The initial step in the project was field testing LineVision’s non-contact DLR monitoring system on AEP’s Cook-Olive 345kV line. Testing revealed that DLR can provide significant additional capacity as compared to a static or ambient adjusted rating for overhead transmission lines. This confirms a trend generally seen across the U.S. electric grid when DLR is applied to transmission assets.
The team then set out to determine what economic impact a DLR system could have on a highly congested line in PJM. LineVision’s CTO, Dr. Nathan Pinney, calculated back-casted ratings for the target line using historical NOAA weather data. Interpolating the weather data for multiple locations along the line’s varying headings and paths, he calculated one year of historical Dynamic Line Ratings, always utilizing the lowest rating for use in the simulation to ensure conservatism. When compared to the ambient adjusted ratings that were used in operations, the historical ratings showed that there was additional capacity on the target line more than 94 percent of the time!
PJM engineers Shaun Murphy and Nicolae Dumitriu then utilized the historical ratings in a PROMOD Market Efficiency base-case software simulation and compared the DLR case simulation results to a base case that used the line’s standard winter and summer ratings.
The simulation showed that over the course of one year congestion payments could have been reduced by a net of over $4 million dollars! “The results show the great potential for DLR systems to act as a tool for better congestion management,” said PJM’s Shaun Murphy. He noted, “if we can replace our assumptions with a temperature measurement, we can ensure reliability and reduce congestion costs.”
Murphy presented the paper’s contents at the CIGRE Grid of the Future 2018 conference as a part of the NGN Paper Competition.Back to Blog