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节点骨干输电系统（TX-123BT）数据集。TX-123BT系统的构建流程与细节已在以下论文中详述：Jin Lu, Xingpeng Li et al., "A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles"。若您的研究工作中使用本数据集，请引用上述论文。

## 简介
TX-123BT系统与实际的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。该系统仅包含分布于德克萨斯州境内的高压输电线路构成的骨干网架，涵盖2019年全年的可再生能源发电、电力负荷以及输电热极限的时序曲线。研究提取并使用了北美陆面数据同化系统（North American Land Data Assimilation System, NLDAS）的气候数据，以生成上述依赖气候条件的时序曲线。本次数据集构建了两类依赖气候的动态线路额定值（dynamic line rating, DLR）曲线：(i) 日度动态线路额定值；(ii) 小时级动态线路额定值。

## 电力系统配置数据
- "Bus_data.csv"：包含母线名称与位置（经度与纬度）的母线数据
- "Line_data.csv"：线路容量与终端母线信息
- "Generator_data.xlsx"：其中"Gen_data"工作表包含发电机参数，涵盖有功/无功容量、燃料类型、发电成本以及爬坡速率；"Solar Plant Number"工作表为光伏场站编号与发电机编号的对应关系；"Wind Plant Number"工作表为风电场编号与发电机编号的对应关系。

## 时序曲线数据
1. "Climate_2019"文件夹：包含2019年每日的气候数据，涵盖太阳辐射、气温、近地表风速。文件夹内每个文件对应2019年某一日的逐小时气温、长波与短波太阳辐射、纬向与经向风速数据。
2. "dynamic_rating_2019"文件夹：包含2019年每日各线路的小时级动态线路额定值。每个文件包含2019年某一日内所有时段单条线路的小时级额定传输功率（MW），其中列代表一日内的1-24小时，行代表2019年的第1-365天。
3. "Daily_rating_2019.csv"：2019年所有线路、所有日期的日度动态线路额定值（MW）。
4. "solar_2019"文件夹：包含TX-123BT系统内所有光伏场站2019年全年的发电出力数据。每个文件对应2019年某一日内所有光伏场站的逐小时发电出力（MW），其中列代表一日内的1-24小时，行代表1-72号光伏场站。
5. "wind_2019"文件夹：包含本案例中所有风电场2019年全年的发电出力数据。每个文件对应2019年某一日内所有风电厂的逐小时发电出力（MW），其中列代表一日内的1-24小时，行代表1-82号风电厂。
6. "load_2019"文件夹：包含每日所有母线的逐小时负荷数据。每个文件对应2019年某一日内所有母线的逐小时节点负荷（MW），其中列代表1-123号母线，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）许可协议进行许可。

## 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
本数据集由金璐创建，李兴鹏指导完成。李弘毅与Taher Chegini提供了原始历史气候数据（提取自开源数据集NLDAS）。