A synthetic Texas power system with time-series weather-dependent spatiotemporal profiles

IF 4.8 2区工程技术 Q2 ENERGY & FUELS

Sustainable Energy Grids & Networks Pub Date : 2025-06-16 DOI:10.1016/j.segan.2025.101774

Jin Lu , Xingpeng Li , Hongyi Li , Taher Chegini , Carlos Gamarra , Y.C. Ethan Yang , Margaret Cook , Gavin Dillingham

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引用次数: 0

Abstract

We developed a synthetic Texas 123-bus backbone transmission system (TX-123BT) with spatio-temporally correlated grid profiles of solar power, wind power, dynamic line ratings and loads at one-hour resolution for five continuous years, which demonstrates unique advantages compared to conventional test cases that offer single static system profile snapshots. Three weather-dependent models are used to create the hourly wind power productions, solar power productions, and dynamic line ratings respectively. The actual historical weather information is also provided along with this dataset, which is suitable for machine learning models. Security-constrained unit commitment is conducted on TX-123BT daily grid profiles and numerical results are compared with the actual Texas system for validation. The created hourly DLR profiles can cut operating cost from $8.09 M to $7.95 M (-1.7 %), raises renewable dispatch by 1.3 %, and lowers average LMPs from $18.66 to $17.98 /MWh (-3.6 %). Two hydrogen options—a 200 MW dual hub and a 500 MW hydrogen-energy transmission and conversion system—reduce high-load Q3 daily costs by 13.9 % and 14.1 %, respectively. Sensitivity tests show that suppressing the high-resolution weather-driven profiles can push system cost up by as much as 15 %, demonstrating the economic weight of temporal detail.

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一个具有时序天气时空特征的合成德州电力系统

我们开发了一个合成的德克萨斯123总线骨干传输系统（TX-123BT），该系统具有太阳能发电、风能发电、动态线路额定值和负载的时空相关电网轮廓，连续五年以一小时分辨率运行，与提供单一静态系统轮廓快照的传统测试案例相比，它具有独特的优势。三个与天气相关的模型分别用于创建每小时风力发电量、太阳能发电量和动态线路额定值。该数据集还提供了实际的历史天气信息，适用于机器学习模型。在TX-123BT日电网剖面上进行了安全约束单元承诺，并将数值结果与得克萨斯实际系统进行了对比验证。创建的每小时DLR配置文件可以将运营成本从8.09美元 M降低到7.95美元 M(-1.7 %)，将可再生能源调度提高1.3 %，并将平均LMPs从18.66美元降低到17.98美元/兆瓦时（-3.6 %）。两种氢能源选择——200 MW双枢纽和500 MW氢能源传输和转换系统——可分别降低第三季度高负荷日成本13.9% %和14.1% %。灵敏度测试表明，抑制高分辨率天气驱动剖面可以使系统成本提高15% %，这表明了时间细节的经济权重。

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来源期刊

Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology

CiteScore

7.90

自引率

13.00%

发文量

206

审稿时长

49 days

期刊介绍： Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.