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Power System Transient Stability Assessment Simulations Dataset - IEEE New England 39-bus test case

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Mendeley Data2024-03-27 更新2024-06-27 收录
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https://zenodo.org/record/4521886
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This dataset contains phasor measurements (PMU-type) signals from the IEEE New England 39-bus power system test case network, which are generated from a large corpus of 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 (including deep learning) techniques for transient stability assessment (TSA) of electrical power systems. A dataset contains time-domain signals from 9360 simulations. Different load and generation levels of the New England 39-bus benchmark power system are 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 (for different system load levels, both generation and loads are scaled by the same ratio). The short-circuits are located on the busbar or on the transmission line (TL). When they are located on a TL, it was assumed that they can occur at 20%, 40%, 60%, and 80% of the line length. Timing of the fault occurrences takes into the consideration a moment on the instantaneous sinusoidal reference voltage. The observation period of each simulation was set at 3 seconds and signals are sampled at 1/60 s resolution. Many different machine electrical and mechanical (rotor and stator quantities), as well as network (three-phase currents and voltages), time-domain signals are obtained from simulations with a PMU-type resolution. A dataset is a collection of MAT files (.mat) which can be imported into the MATLAB® Workspace. The database consists of 9360 simulations (15x624 simulations) separated into ".mat" files. Every database or packet of 624 simulations has a different nickname. Nickname is an abbreviation for a specific condition that has been observed (i.e. simulated) in that specific case. Filenames reveal network conditions. Load denotes load level of the system in % and SC denotes type of short-circuit where 1, 2 and 3 are single-phase, double-phase and three-phase short-circuit, respectively. For example, Load_80_SC_1_OUTPUT.mat filename has the following meaning: Load_80 means that the consumed power was set to 80% of the basic system load level and SC_1 means that a single-phase short circuit has been observed. List of variable names: Angle_Vabc -- Bus Phase Angles for phase A, B and C (repetitively for different buses) EFD -- EFD in PU LA -- Power Load Angle in degrees Magnitude_Vabc -- Bus Voltage Magnitudes for phase A, B and C (repetitively for different buses) P -- Electrical Power in PU Pe -- Generator Active Power in PU Qe -- Generator Reactive Power in PU SI_id -- Stator d-component Current in PU Si_iq -- Stator q-component Current in PU STOP -- Transient Stability Index (TSI), 0 - in synchronism, 1 - out of synchronism SV_vd -- Stator d-component Voltage in PU SV_vq -- Stator q-component Voltage in PU Vt -- Stator Voltage in PU d_theta -- Rotor Angle Deviation in radians t -- Simulation time, i.e. sampling time theta -- Rotor Mechanical Angle in degrees w -- Rotor Speed in PU License: Creative Commons CC-BY Disclaimer: This dataset is provided "as is", without any warranties of any kind.

本数据集包含源自IEEE新英格兰39节点电力系统测试案例网络的相量测量类(PMU,phasor measurement unit)信号,此类信号通过大规模系统性MATLAB®/Simulink机电暂态仿真语料生成。本数据集旨在构建便捷开源的数据库,用于开展各类机器学习(含深度学习)技术在电力系统暂态稳定评估(TSA,transient stability assessment)中的实验研究。 本数据集包含9360组仿真的时域信号。其系统性覆盖了新英格兰39节点基准电力系统的各类负荷与发电水平,同时涵盖了网络全区域内三种主要短路故障类型:三相短路、两相短路与单相短路。系统消耗功率设定为基准系统负荷水平的80%、90%、100%、110%与120%(针对不同系统负荷水平,发电与负荷均按相同比例缩放)。短路故障可发生于母线或输电线路(TL,transmission line):若故障发生于输电线路,则假定其可出现在线路长度的20%、40%、60%与80%位置处。故障发生时刻需结合瞬时正弦参考电压的相位确定。每组仿真的观测时长设定为3秒,信号采样分辨率为1/60秒。 本数据集通过仿真获取了多种不同的电机电气与机械量(转子与定子相关物理量)以及网络量(三相电流与电压)的时域信号,采样分辨率符合PMU类标准。本数据集以MAT文件(.mat)格式存储,可直接导入MATLAB®工作区。该数据库包含9360组仿真数据(分为15组,每组624组仿真),每组对应一个“.mat”文件。每624组仿真的数据包拥有不同的昵称,该昵称为该组仿真所对应特定工况的缩写。文件名可体现网络工况:Load表示系统负荷水平(以百分比计),SC表示短路类型,其中1、2、3分别对应单相短路、两相短路与三相短路。例如,文件名Load_80_SC_1_OUTPUT.mat的含义如下:Load_80表示系统消耗功率设定为基准负荷水平的80%,SC_1表示发生单相短路故障。 变量名列表如下: Angle_Vabc:各母线A、B、C相的相角(按不同母线依次重复) EFD:励磁场电压(标幺值) LA:功率负荷角,单位为度 Magnitude_Vabc:各母线A、B、C相的电压幅值(按不同母线依次重复) P:电功率(标幺值) Pe:发电机有功功率(标幺值) Qe:发电机无功功率(标幺值) SI_id:定子d轴电流(标幺值) Si_iq:定子q轴电流(标幺值) STOP:暂态稳定指标(TSI,Transient Stability Index),0代表系统处于同步运行状态,1代表系统失步 SV_vd:定子d轴电压(标幺值) SV_vq:定子q轴电压(标幺值) Vt:定子端电压(标幺值) d_theta:转子角偏差,单位为弧度 t:仿真时间,即采样时刻 theta:转子机械角,单位为度 w:转子转速(标幺值) 许可证:知识共享署名许可(Creative Commons CC-BY) 免责声明:本数据集按"as is"提供,不附带任何形式的明示或默示担保。
创建时间:
2023-06-28
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含基于IEEE新英格兰39总线电力系统的暂态稳定评估模拟数据,主要用于机器学习和深度学习算法的实验。数据集由9360次模拟组成,覆盖不同负载水平、发电水平和短路类型,提供了丰富的PMU类型信号数据。
以上内容由遇见数据集搜集并总结生成
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