DynaLiRD:用于空中输电线路的动态线路评级的数据集,使用基于IEEE 738-2012标准的气象数据和电网参数
Najmul Alam1, M A Rahman1, Md Rashidul Islam1
1Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Kazla, Rajshahi 6204, Bangladesh.
Data in brief
|October 1, 2025
概括
本研究介绍了DynaLiRD,这是220kV输电线路上的动态线路评级 (DLR) 的数据集. 它包括用于机器学习和网络安全研究的清洁和不利扰乱的数据.
科学领域:
- 电气工程 电气工程
- 数据科学数据科学数据科学
- 网络安全 网络安全
背景情况:
- 动态线路分级 (DLR) 对于优化电力传输能力至关重要.
- 现有的数据集往往缺乏用于高级分析的全面数据,特别是关于网络安全威胁的数据.
- 特朗普查姆220千伏空中输电线需要详细的运行数据来准确评估DLR.
研究的目的:
- 介绍DynaLiRD,一个新的数据集,用于特定空中输电线路的动态线路评级 (DLR).
- 纳入不利扰乱的数据,以提高网络安全和机器学习研究的适用性.
- 为DLR估计,预测和电网弹性评估提供一个有价值的资源.
主要方法:
- 使用IEEE 738-2012标准计算的DLR值.
- 利用了历史的气象数据 (温度,风,辐射) 和详细的线路参数.
- 使用快速梯度符号方法 (FGSM) 和基本代方法 (BIM) 生成的对抗性数据.
主要成果:
- 建立了一个全面的数据集 (DynaLiRD) 对Trang-Thap Cham 220kV输电线路.
- 数据集包括各种强度的原始和不利扰动数据.
- 这些数据有助于DLR的估计,预测和网络安全漏洞分析.
结论:
- DynaLiRD是推动DLR,可再生能源整合和电网网络安全研究的重要资源.
- 包括对抗性数据允许对数据驱动的能源系统进行可靠的评估.
- 该数据集支持电力部门的基础设施规划,能源政策和机器学习应用.
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