A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles
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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 pro-files respectively. In addition, two sets of climate-dependent dy-namic 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.
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