1. A Review of Dynamic Thermal Line Rating Methods With Forecasting
- Author
-
Ian Grant, Hong Chen, Sarma Nuthalapati, Tip Goodwin, Jake P. Gentle, Huu-Minh Nguyen, José Antonio Jardini, Charles Xu, Neil Hurst, Paula Traynor, W. A. Chisholm, Dale Douglass, Robert Kluge, and Cody Davis
- Subjects
Computer science ,020209 energy ,Energy Engineering and Power Technology ,02 engineering and technology ,Wind speed ,Automotive engineering ,Conductor ,Electric power system ,Electric power transmission ,Limit (music) ,0202 electrical engineering, electronic engineering, information engineering ,Overhead (computing) ,Electrical and Electronic Engineering ,Line (text file) ,Electrical conductor - Abstract
Power flow, on both AC and DC overhead transmission lines, is limited to keep the conductor temperature below a maximum (TCMAX) specified to limit both conductor sag and the aging of conductors and splices over time. This power flow limit (line thermal rating) varies with weather conditions along the line corridor but, for simplicity, static line ratings (SLR) are normally calculated for “suitably conservative” annual or seasonal weather conditions. Dynamic line ratings (DLR) change with the real-time weather conditions along the line, are usually higher than SLR, and are more complex to use in system operation. Forecasting of DLR requires forecasting of line corridor weather conditions but makes DLR more useful to power system operations. This paper discusses DLR methods including forecast techniques and presents various field applications.
- Published
- 2019