A synthetic Texas power system with time-series weather-dependent spatiotemporal profiles

Jin Lu, Xingpeng Li, Hongyi Li, Taher Chegini, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, and Gavin Dillingham. Sustainable Energy, Grids and Networks, 2025.
PDF Download
2302.13231.pdf
ArXiv
abs/2302.13231
DOI
10.1016/j.segan.2025.101774
Codes/Data
TX-123BT
Authors in the RPG Lab
(might be unordered here; check the citation below)
Jin Lu
Xingpeng Li

Abstract

We developed a synthetic Texas 123-bus backbone transmission system (TX-123BT) with spatio-temporally correlated grid profiles of solar power, wind power, dynamic line ratings and loads at one-hour resolution for five continuous years, which demonstrates unique advantages compared to conventional test cases that offer single static system profile snapshots. Three weather-dependent models are used to create the hourly wind power productions, solar power productions, and dynamic line ratings respectively. The actual historical weather information is also provided along with this dataset, which is suitable for machine learning models. Security-constrained unit commitment is conducted on TX-123BT daily grid profiles and numerical results are compared with the actual Texas system for validation. The created hourly DLR profiles can cut operating cost from $8.09M to $7.95M (-1.7%), raises renewable dispatch by 1.3%, and lowers average LMPs from $18.66 to $17.98 /MWh (-3.6%). Two hydrogen options—a 200MW dual hub and a 500 MW hydrogen-energy transmission and conversion system—reduce high-load Q3 daily costs by 13.9% and 14.1%, respectively. Sensitivity tests show that suppressing the high-resolution weather-driven profiles can push system cost up by as much as 15 %, demonstrating the economic weight of temporal detail.

Index Terms

Dynamic line rating, Hydrogen integration, Spatio-temporal power system profiles, Test power system, Weather-dependent renewable models and generation profiles

Cite this paper:

Jin Lu, Xingpeng Li, Hongyi Li, Taher Chegini, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, and Gavin Dillingham, “A Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles”, Sustainable Energy, Grids and Networks, vol. 43, Sep. 2025.

Authorship Contributions

  • Jin Lu: Methodology, Investigation, Validation, Data collection and curation, Programming, Simulation, Case Studies, Visualization, and Writing – original draft and review & editing.
  • Xingpeng Li: Conceptualization, Methodology, Analysis, Supervision, Resources, Feedback, and Writing – review & editing.
  • Hongyi Li and Taher Chegini provided the raw historical climate data (extracted from an open-access dataset - NLDAS).
  • Hongyi Li, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, and Gavin Dillingham: Feedback, and Writing – review & editing.