IEEE New England 39-bus test case: Dataset for the Transient Stability Assessment

The dataset contains 350 features engineered from the phasor measurements (PMU-type) signals from the IEEE New England 39-bus power system test case network, which are generated from the 9360 systematic MATLAB®/Simulink electro-mechanical transients simulations. It was prepared to serve as a convenient and open database for experimenting with different types of machine learning techniques for transient stability assessment (TSA) of electrical power systems. Different load and generation levels of the New England 39-bus benchmark power system were systematically covered, as well as all three major types of short-circuit events (three-phase, two-phase and single-phase faults) in all parts of the network. The consumed power of the network was set to 80%, 90%, 100%, 110% and 120% of the basic system load levels. The short-circuits were located on the busbar or on the transmission line (TL). When they were located on a TL, it was assumed that they can occur at 20%, 40%, 60%, and 80% of the line length. Features were obtained directly from the time-domain signals at the pickup time (pre-fault value) and at the trip time (post-fault value) of the associated distance protection relays. This is a stochastic dataset of 3120 cases, created from the population of 9360 systematic simulations, which features a statistical distribution of different fault types, as follows: single-phase (70%), double-phase (20%) and three-phase faults (10%). It also features a class imbalance, with less than 20% of cases belonging to the unstable class. Dataset is a compressed CSV file. List of feature names in the dataset: WmGx - rotor speed for each generator Gx, from G1 to G10, DThetaGx - rotor angle deviation for each generator Gx, from G1 to G10, ThetaGx - rotor mechanical angle for each generator Gx, from G1 to G10, VtGx - stator voltage for each generator Gx, from G1 to G10, IdGx - stator d-component current for each generator Gx, from G1 to G10, IqGx - stator q-component current for each generator Gx, from G1 to G10, LAfvGx - pre-fault power load angle for each generator Gx, from G1 to G10, LAlvGx - post-fault power load angle for each generator Gx, from G1 to G10, PfvGx - pre-falut value of the generator active power for each generator Gx, from G1 to G10, PlvGx - post-falut value of the generator active power for each generator Gx, from G1 to G10, QfvGx - pre-falut value of the generator reactive power for each generator Gx, from G1 to G10, QlvGx - post-falut value of the generator reactive power for each generator Gx, from G1 to G10, VAfvBx - pre-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39, VBfvBx - pre-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39, VCfvBx - pre-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39, VAlvBx - post-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39, VBlvBx - post-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39, VClvBx - post-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39, Stability - binary indicator (0/1) that determines if the power system was stable or unstable (0 - stable, 1 - unstable); this is the label variable. License: Creative Commons CC-BY. Disclaimer: This dataset is provided "as is", without any warranties of any kind.

本数据集包含350个特征，这些特征源自IEEE新英格兰39母线电力系统测试案例网络的相量测量（PMU型）信号，相关信号通过9360次系统性MATLAB®/Simulink机电暂态仿真生成。本数据集旨在为电力系统暂态稳定评估（TSA）相关的各类机器学习技术实验提供便捷的开源数据库。

本数据集系统性覆盖了新英格兰39母线基准电力系统的不同负载与发电水平，同时涵盖了网络全区域内三类主要短路故障：三相短路、两相短路与单相短路。系统运行功率被设置为基准系统负载水平的80%、90%、100%、110%及120%。短路故障可发生于母线或输电线路（TL）：若故障发生于输电线路，则故障位置设置在线路长度的20%、40%、60%及80%处。

特征直接提取自对应距离保护继电器的动作时刻（故障前时刻）与跳闸时刻（故障后时刻）的时域信号。本数据集包含3120个样本，由9360次系统性仿真的样本池抽样生成，各类故障类型的统计分布为：单相故障（70%）、两相故障（20%）及三相故障（10%）。数据集存在类别不平衡问题，不稳定样本占比不足20%。本数据集为压缩后的CSV文件。

数据集中的特征名称及说明如下：
WmGx：发电机Gx（G1至G10）的转子转速；
DThetaGx：发电机Gx（G1至G10）的转子角偏差；
ThetaGx：发电机Gx（G1至G10）的转子机械角度；
VtGx：发电机Gx（G1至G10）的定子电压；
IdGx：发电机Gx（G1至G10）的定子d轴电流分量；
IqGx：发电机Gx（G1至G10）的定子q轴电流分量；
LAfvGx：发电机Gx（G1至G10）的故障前功率功角；
LAlvGx：发电机Gx（G1至G10）的故障后功率功角；
PfvGx：发电机Gx（G1至G10）的故障前有功功率；
PlvGx：发电机Gx（G1至G10）的故障后有功功率；
QfvGx：发电机Gx（G1至G10）的故障前无功功率；
QlvGx：发电机Gx（G1至G10）的故障后无功功率；
VAfvBx：母线Bx（B1至B39）的A相故障前母线电压幅值；
VBfvBx：母线Bx（B1至B39）的B相故障前母线电压幅值；
VCfvBx：母线Bx（B1至B39）的C相故障前母线电压幅值；
VAlvBx：母线Bx（B1至B39）的A相故障后母线电压幅值；
VBlvBx：母线Bx（B1至B39）的B相故障后母线电压幅值；
VClvBx：母线Bx（B1至B39）的C相故障后母线电压幅值；
Stability：二分类标签（0/1），用于标识电力系统稳定状态（0表示稳定，1表示不稳定），为该数据集的标签变量。

许可证：知识共享署名许可（Creative Commons CC-BY）。
免责声明：本数据集按“现状”提供，不附带任何形式的明示或默示担保。

搜集汇总

背景与挑战

背景概述

该数据集是基于IEEE New England 39-bus电力系统测试案例构建的机器学习数据集，专门用于暂态稳定性评估。它包含350个从相量测量信号中提取的特征，覆盖了3120个随机案例，涉及不同负载水平和短路事件，但存在类别不平衡问题，不稳定案例占比低于20%。数据集以压缩CSV文件形式提供，旨在支持机器学习实验，帮助研究人员开发和测试暂态稳定性评估算法。