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Most power system test cases only have electrical parameters and can be usedonly for studies based on a snapshot of system profiles. To facilitate morecomprehensive and practical studies, a synthetic power system includingspatio-temporal correlated profiles for the entire year of 2019 at one-hourresolution has been created in this work. This system, referred to as thesynthetic Texas 123-bus backbone transmission (TX-123BT) system, has verysimilar temporal and spatial characteristics with the actual ElectricReliability Council of Texas (ERCOT) system. It has a backbone networkconsisting of only high-voltage transmission lines in Texas, which is obtainedby the K-medoids clustering method. The climate data extracted from the NorthAmerican Land Data Assimilation System (NLDAS) are used to create theclimate-dependent profiles of renewable generation and transmission thermallimits. Two climate-dependent models are implemented to determine wind andsolar power production pro-files respectively. In addition, two sets ofclimate-dependent dy-namic line rating (DLR) profiles are created with theactual climate information: (i) daily DLR and (ii) hourly DLR. Simulationresults of security-constrained unit commitment (SCUC) conducted on each of thedaily system profiles have validated the developed one-year hourly time seriesdataset.

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