This is an author-produced, peer-reviewed version of this article. © 2017, Elsevier. Licensed under the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. http://creativecommons.org/licenses//by-nc-nd/4.0/. The final, definitive version of this document can be found online at Renewable Energy, doi: 10.1016/j.renene.2017.02.072
Dynamic Rating of Overhead Transmission Lines over Complex Terrain Using a Large-Eddy Simulation ParadigmRenewable Energy
AbstractDynamic Line Rating (DLR) enables rating of power line conductors using real-time weather conditions. Conductors are typically operated based on a conservative static rating that assumes worst case weather conditions to avoid line sagging to unsafe levels. Static ratings can cause unnecessary congestion on transmission lines. To address this potential issue, a simulation-based dynamic line rating approach is applied to an area with moderately complex terrain. A micro-scale wind solver — accelerated on multiple graphics processing units (GPUs) — is deployed to compute wind speed and direction in the vicinity of powerlines. The wind solver adopts the large-eddy simulation technique and the immersed boundary method with fine spatial resolutions to improve the accuracy of wind field predictions. Statistical analysis of simulated winds compare favorably against wind data collected at multiple weather stations across the testbed area. The simulation data is then used to compute excess transmission capacity that may not be utilized because of a static rating practice. Our results show that the present multi-GPU accelerated simulation-based approach — supported with transient calculation of conductor temperature with high-order schemes — could be used as a non-intrusive smart-grid technology to increase transmission capacity on existing lines.
Citation InformationPhillips, Tyler; DeLeon, Ray; and Senocak, Inanc. (2017). "Dynamic Rating of Overhead Transmission Lines over Complex Terrain Using a Large-Eddy Simulation Paradigm". Renewable Energy, 108, 380-389. https://doi.org/10.1016/j.renene.2017.02.072