Using Computational Fluid Dynamics of Wind Simulations Coupled With Weather Data to Calculate Dynamic Line Ratings

Abboud, Alexander W.; Gentle, Jake P.; McJunkin, Timothy R.; Lehmer, Jacob P.

doi:10.1109/tpwrd.2019.2925520

Title: Using Computational Fluid Dynamics of Wind Simulations Coupled With Weather Data to Calculate Dynamic Line Ratings

Journal Article · Thu Jun 27 00:00:00 EDT 2019 · IEEE Transactions on Power Delivery

DOI:https://doi.org/10.1109/tpwrd.2019.2925520· OSTI ID:1922898

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Idaho National Lab. (INL), Idaho Falls, ID (United States)

Dynamic line rating is a technology that allows for the rating of electrical conductors to be calculated based on local weather conditions rather than using ”worst-case” assumptions of weather conditions. The static ratings are typically based on weather conditions that are conservative in nature, and thus dynamic line rating may provide room to increase the current capacity. The local weather conditions may estimate conditions more accurately near the transmission lines accounting for terrain such as nearby hills. One way to estimate the local weather conditions is through the use of computational fluid dynamics. The results of a wind field simulation can be coupled with sparsely located weather stations to provide an accurate assessment of the wind speeds along the path of the conductor. Here, the wind field simulations are calculated using a steady state Reynolds-averaged Navier-Stokes model. These results along with local solar radiance measurements can be used to provide estimates of the steady state ampacity with the standard IEEE equations. An advanced test case for this process involves performing these simulations in a complex terrain, Hells Canyon, the deepest river gorge in North America. The results show that by using weather-based sensors without considering localized wind conditions, the available ampacity may be over-predicted significantly.

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 1922898

Report Number(s):: INL/JOU-18-51051-Rev000; TRN: US2312374

Journal Information:: IEEE Transactions on Power Delivery, Vol. 35, Issue 2; ISSN 0885-8977

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

References (18)

Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability Greenwood, David M.; Taylor, Phil C. IEEE Transactions on Power Systems, Vol. 29, Issue 5 https://doi.org/10.1109/TPWRS.2014.2305872	journal	September 2014
On Dispatching Line Ampacities of Power Grids Using Weather-Based Conductor Temperature Forecasts Jiang, Joe-Air; Liang, Yu-Ting; Chen, Chia-Pang IEEE Transactions on Smart Grid, Vol. 9, Issue 1 https://doi.org/10.1109/TSG.2016.2553964	journal	January 2018
Transmission line ampacity improvements of altalink wind plant overhead tie-lines using weather-based dynamic line rating Bhattarai, Bishnu P.; Gentle, Jake P.; Hill, Porter 2017 IEEE Power & Energy Society General Meeting https://doi.org/10.1109/PESGM.2017.8273766	conference	July 2017
Numerical analysis of wind flow patterns over complex hilly terrains: comparison between two commonly used CFD software Dhunny, A. Z.; Lollchund, M. R.; Rughooputh, S. D. D. V. International Journal of Global Energy Issues, Vol. 39, Issue 3/4 https://doi.org/10.1504/IJGEI.2016.076339	journal	January 2016
Wind energy evaluation for a highly complex terrain using Computational Fluid Dynamics (CFD) Dhunny, A. Z.; Lollchund, M. R.; Rughooputh, S. D. D. V. Renewable Energy, Vol. 101 https://doi.org/10.1016/j.renene.2016.08.032	journal	February 2017
Numerical Evaluation of Wind Flow over Complex Terrain: Review Bitsuamlak, G. T.; Stathopoulos, T.; Bédard, C. Journal of Aerospace Engineering, Vol. 17, Issue 4 https://doi.org/10.1061/(ASCE)0893-1321(2004)17:4(135)	journal	October 2004
Real-Time Overhead Transmission-Line Monitoring for Dynamic Rating Douglass, Dale; Chisholm, William; Davidson, Glenn IEEE Transactions on Power Delivery, Vol. 31, Issue 3 https://doi.org/10.1109/TPWRD.2014.2383915	journal	June 2016
The prediction of laminarization with a two-equation model of turbulence Jones, W. P.; Launder, B. E. International Journal of Heat and Mass Transfer, Vol. 15, Issue 2 https://doi.org/10.1016/0017-9310(72)90076-2	journal	February 1972
Distributionally Robust Congestion Management With Dynamic Line Ratings Qiu, Feng; Wang, Jianhui IEEE Transactions on Power Systems, Vol. 30, Issue 4 https://doi.org/10.1109/TPWRS.2014.2361012	journal	July 2015
Improvement of Transmission Line Ampacity Utilization by Weather-Based Dynamic Line Rating Bhattarai, Bishnu P.; Gentle, Jake P.; McJunkin, Timothy IEEE Transactions on Power Delivery, Vol. 33, Issue 4 https://doi.org/10.1109/TPWRD.2018.2798411	journal	August 2018
Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study Aznarte, Jose L.; Siebert, Nils IEEE Transactions on Power Delivery, Vol. 32, Issue 1 https://doi.org/10.1109/TPWRD.2016.2543818	journal	February 2017
Wind speed prediction accuracy and expected errors of RANS equations in low relief inland terrain for wind resource assessment purposes Milashuk, Serozhah; Crane, William A. Environmental Modelling & Software, Vol. 26, Issue 4 https://doi.org/10.1016/j.envsoft.2010.10.004	journal	April 2011
Applicability of Dynamic Thermal Line Rating for Long Lines Dawson, Leanne; Knight, Andrew M. IEEE Transactions on Power Delivery, Vol. 33, Issue 2 https://doi.org/10.1109/TPWRD.2017.2691671	journal	April 2018
A Comparison of Real-Time Thermal Rating Systems in the U.S. and the U.K. Greenwood, David M.; Gentle, Jake P.; Myers, Kurt S. IEEE Transactions on Power Delivery, Vol. 29, Issue 4 https://doi.org/10.1109/TPWRD.2014.2299068	journal	August 2014
Investigation of a Dynamic Power Line Rating Concept for Improved Wind Energy Integration Over Complex Terrain Phillips, Tyler B.; Senocak, Inanc; Gentle, Jake P. Volume 1D, Symposia: Transport Phenomena in Mixing; Turbulent Flows; Urban Fluid Mechanics; Fluid Dynamic Behavior of Complex Particles; Analysis of Elementary Processes in Dispersed Multiphase Flows; Multiphase Flow With Heat/Mass Transfer in Process Technology; Fluid Mechanics of Aircraft and Rocket Emissions and Their Environmental Impacts; High Performance CFD Computation; Performance of Multiphase Flow Systems; Wind Energy; Uncertainty Quantification in Flow Measurements and Simulations https://doi.org/10.1115/FEDSM2014-21377	conference	August 2014
Forecasting for dynamic line rating Michiorri, Andrea; Nguyen, Huu-Minh; Alessandrini, Stefano Renewable and Sustainable Energy Reviews, Vol. 52 https://doi.org/10.1016/j.rser.2015.07.134	journal	December 2015
On the Use of Dynamic Thermal-Line Ratings for Improving Operational Tripping Schemes Cong, Yuhang; Regulski, Pawel; Wall, Peter IEEE Transactions on Power Delivery, Vol. 31, Issue 4 https://doi.org/10.1109/TPWRD.2015.2502999	journal	August 2016
A high-resolution mapping of wind energy potentials for Mauritius using Computational Fluid Dynamics (CFD) Dhunny, Asma Z.; Lollchund, Michel R.; Rughooputh, Soonil D. D. V. Wind and Structures, Vol. 20, Issue 4 https://doi.org/10.12989/was.2015.20.4.565	journal	April 2015

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