Texas Synthetic Power System Test Case (TX-123BT).zip

The dataset of the synthetic Texas 123-bus backbone transmission (TX-123BT) system. The procedures and details to create TX-123BT system are described in the paper below: Jin Lu, Xingpeng Li et al., “A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles”. If you use this dataset in your work, please cite the paper above. ***Introduction: The TX-123BT system has similar temporal and spatial characteristics as the actual Electric Reliability Council of Texas (ERCOT) system. TX-123BT system has a backbone network consisting of only high-voltage transmission lines distributed in the Texas territory. It includes time series profiles of renewable generation, electrical load, and transmission thermal limits for the entire year of 2019. The North American Land Data Assimilation System (NLDAS) climate data is extracted and used to create the climate-dependent time series profiles mentioned above. Two sets of climate-dependent dynamic line rating (DLR) profiles are created: (i) daily DLR and (ii) hourly DLR. ***Power system configuration data: 'Bus_data.csv': Bus data including bus name and location (longitude & latitude). 'Line_data.csv': Line capacity and terminal bus information. 'Generator_data.xlsx': 'Gen_data' sheet: Generator parameters including active/reactive capacity, fuel type, cost and ramping rate. 'Solar Plant Number' sheet: Correspondence between the solar plant number and generator number. 'Wind Plant Number' sheet: Correspondence between the wind plant number and generator number. ***Time series profiles: 'Climate_2019' folder: Include each day's climate data for solar radiation, air temperature, wind speed near surface. Each file in the folder includes the hourly temperature, longwave & shortwave solar radiation, zonal & Meridional wind speed data of a day in 2019. 'dynamic_rating_2019' folder: Include the hourly dynamic line rating for each day in 2019. Each file includes the hourly line rating (MW) of a line for all hours in 2019. In each file, columns represent hour 1-24 in a day, rows represent day 1-365 in 2019. 'Daily_rating_2019.csv': The daily dynamic line rating (MW) for all lines and all days in 2019. 'solar_2019' folder: Solar production for all the solar farms in the TX-123BT and for all the days in 2019. Each file includes the hourly solar production (MW) of all the solar plants for a day in 2019. In each file, columns represent hour 1-24 in a day, rows represent solar plant 1-72. 'wind_2019' folder: Wind production for all the wind farms in the case and for all the days in 2019. Each file includes the hourly wind production (MW) of all the wind plants for a day in 2019. In each file, columns represent hour 1-24 in a day, rows represent wind plant 1-82. 'load_2019' folder: Include each day's hourly load data on all the buses. Each file includes the hourly nodal loads (MW) of all the buses in a day in 2019. In each file,columns represent bus 1-123, rows represent hour 1-24 in a day. ***Funding This project is supported by Alfred P. Sloan Foundation. ***License: This work is licensed under the terms of the Creative Commons Attribution 4.0 (CC BY 4.0) license. ***Disclaimer: The author doesn’t make any warranty for the accuracy, completeness, or usefulness of any information disclosed and the author assumes no liability or responsibility for any errors or omissions for the information (data/code/results etc) disclosed. ***Contributions: Jin Lu created this dataset. Xingpeng Li supervised this work. Hongyi Li and Taher Chegini provided the raw historical climate data (extracted from an open-access dataset - NLDAS).

合成德克萨斯123节点骨干输电（TX-123BT）系统数据集。TX-123BT系统的构建流程与细节详见下述论文：卢瑾（Jin Lu）、李兴鹏（Xingpeng Li）等发表的《考虑气候相关时空关联特性的合成德克萨斯骨干电力系统（A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles）》。若您在研究工作中使用本数据集，请引用上述论文。
*** 引言：TX-123BT系统与实际德克萨斯电力可靠性委员会（Electric Reliability Council of Texas, ERCOT）系统具备相似的时空特性。TX-123BT系统为仅包含分布于德克萨斯州境内高压输电线路的骨干电网，涵盖2019全年的可再生能源发电、电力负荷及输电热极限的时序剖面数据。本数据集采用提取自北美陆面数据同化系统（North American Land Data Assimilation System, NLDAS）的气候数据，生成上述与气候相关的时序剖面。本次构建了两类与气候相关的动态线路额定容量（dynamic line rating, DLR）剖面：(i) 日度DLR剖面；(ii) 小时度DLR剖面。
*** 电力系统配置数据：
- `Bus_data.csv`：包含节点名称与位置（经度、纬度）的节点数据。
- `Line_data.csv`：包含线路容量与终端节点信息的线路数据。
- `Generator_data.xlsx`：内含以下工作表：
1. `Gen_data`工作表：包含发电机组的有功/无功容量、燃料类型、成本及爬坡速率等参数。
2. `Solar Plant Number`工作表：光伏场站编号与发电机组编号的对应关系表。
3. `Wind Plant Number`工作表：风电场编号与发电机组编号的对应关系表。
*** 时序剖面数据：
- `Climate_2019`文件夹：包含2019年每日的太阳辐射、气温、近地面风速等气候数据。该文件夹内每个文件对应2019年某一日的逐小时数据，包含气温、长波与短波太阳辐射、纬向与经向风速信息。
- `dynamic_rating_2019`文件夹：包含2019年每日的逐小时动态线路额定容量数据。该文件夹内每个文件对应2019年某一日所有线路的逐小时额定容量（单位：兆瓦MW），其中列代表一日内的1-24小时，行代表2019年的1-365天。
- `Daily_rating_2019.csv`：2019年全年所有线路的日度动态线路额定容量（单位：兆瓦MW）数据。
- `solar_2019`文件夹：包含TX-123BT系统内所有光伏场站2019年全年的光伏发电出力数据。该文件夹内每个文件对应2019年某一日所有光伏场站的逐小时光伏发电出力（单位：兆瓦MW），其中列代表一日内的1-24小时，行代表1-72号光伏场站。
- `wind_2019`文件夹：包含本案例中所有风电场2019年全年的风电出力数据。该文件夹内每个文件对应2019年某一日所有风电场的逐小时风电出力（单位：兆瓦MW），其中列代表一日内的1-24小时，行代表1-82号风电场。
- `load_2019`文件夹：包含2019年每日所有节点的逐小时负荷数据。该文件夹内每个文件对应2019年某一日所有节点的逐小时节点负荷（单位：兆瓦MW），其中列代表1-123号节点，行代表一日内的1-24小时。
*** 资助说明：本项目由阿尔弗雷德·P·斯隆基金会（Alfred P. Sloan Foundation）资助。
*** 许可协议：本作品采用知识共享署名4.0（Creative Commons Attribution 4.0, CC BY 4.0）许可协议进行授权。
*** 免责声明：作者不对所披露的任何信息的准确性、完整性或实用性作出任何保证，且不对所披露的信息（数据、代码、结果等）中的任何错误或遗漏承担任何责任或义务。
*** 贡献说明：本数据集由卢瑾（Jin Lu）构建，李兴鹏（Xingpeng Li）负责监督指导。李弘毅（Hongyi Li）与塔希尔·切吉尼（Taher Chegini）提供了从开放获取数据集NLDAS中提取的原始历史气候数据。