A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles

Jin Lu, Xingpeng Li, Hongyi Li, Taher Chegini, Carlos Gamarra, Y. C. Ethan Yang, Margaret Cook, and Gavin Dillingham. arXiv, 2023.
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2302.13231.pdf
ArXiv
abs/2302.13231
Codes/Data
TX-123BT
Authors in the RPG Lab
(might be unordered here; check the citation below)
Jin Lu
Xingpeng Li

Abstract

Most power system test cases only have electrical parameters and can be used only for studies based on a snapshot of system profiles. To facilitate more comprehensive and practical studies, a synthetic power system including spatio-temporal correlated profiles for the entire year of 2019 at one-hour resolution has been created in this work. This system, referred to as the synthetic Texas 123-bus backbone transmission (TX-123BT) system, has very similar temporal and spatial characteristics with the actual Electric Reliability Council of Texas (ERCOT) system. It has a backbone network consisting of only high-voltage transmission lines in Texas, which is obtained by the K-medoids clustering method. The climate data extracted from the North American Land Data Assimilation System (NLDAS) are used to create the climate-dependent profiles of renewable generation and transmission thermal limits. Two climate-dependent models are implemented to determine wind and solar power production profiles respectively. In addition, two sets of climate-dependent dynamic line rating (DLR) profiles are created with the actual climate information: (i) daily DLR and (ii) hourly DLR. Simulation results of security-constrained unit commitment (SCUC) conducted on each of the daily system profiles have validated the developed one-year hourly time series dataset.

Index Terms

Annual power system profiles, backbone transmission topology, climate-dependent renewable models, dynamic line rating, K-medoids clustering, power system operations, security-constrained unit commitment, test power system, transmission line rating.

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 Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles”, arXiv, Feb. 2023.

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.