DOI: 10.5281/zenodo.7350829
title: IEEE New England 39-bus test case: Dataset for the Transient Stability Assessment

description: The <strong>dataset</strong> contains <strong>350</strong> <strong>features</strong> engineered from the phasor measurements (PMU-type) signals from the <strong>IEEE New England 39-bus power system</strong> 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 <strong>machine learning</strong> techniques for <strong>transient stability assessment</strong> (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 <strong>stochastic dataset</strong> 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 <strong>class imbalance</strong>, with less than 20% of cases belonging to the unstable class. Dataset is a compressed CSV file. <strong>List of feature names in the dataset:</strong> <em>WmGx</em> - rotor speed for each generator Gx, from G1 to G10, <em>DThetaGx</em> - rotor angle deviation for each generator Gx, from G1 to G10, <em>ThetaGx</em> - rotor mechanical angle for each generator Gx, from G1 to G10, <em>VtGx</em> - stator voltage for each generator Gx, from G1 to G10, <em>IdGx</em> - stator d-component current for each generator Gx, from G1 to G10, <em>IqGx</em> - stator q-component current for each generator Gx, from G1 to G10, <em>LAfvGx</em> - pre-fault power load angle for each generator Gx, from G1 to G10, <em>LAlvGx</em> - post-fault power load angle for each generator Gx, from G1 to G10, <em>PfvGx</em> - pre-falut value of the generator active power for each generator Gx, from G1 to G10, <em>PlvGx</em> - post-falut value of the generator active power for each generator Gx, from G1 to G10, <em>QfvGx</em> - pre-falut value of the generator reactive power for each generator Gx, from G1 to G10, <em>QlvGx</em> - post-falut value of the generator reactive power for each generator Gx, from G1 to G10, <em>VAfvBx</em> - pre-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39, <em>VBfvBx</em> - pre-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39, <em>VCfvBx</em> - pre-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39, <em>VAlvBx</em> - post-fault bus voltage magnitude in phase A for each bus Bx, from B1 to B39, <em>VBlvBx</em> - post-fault bus voltage magnitude in phase B for each bus Bx, from B1 to B39, <em>VClvBx</em> - post-fault bus voltage magnitude in phase C for each bus Bx, from B1 to B39, <em>Stability</em> - binary indicator (0/1) that determines if the power system was stable or unstable (0 - stable, 1 - unstable); this is the label variable. <strong>License</strong>:<strong> </strong>Creative Commons CC-BY. <strong>Disclaimer</strong>: This dataset is provided "as is", without any warranties of any kind.
description: Funding acknowledgement: Project IP-2019-04-7292 - Power system disturbance simulator and non-sinusoidal voltages and currents calibrator, funded by the Croatian Science Foundation, Republic of Croatia.
description: {"references": ["Kunac, A.; Sarajcev, P.: Ensemble Learning Approach to Power System Transient Stability Assessment, 5th International Conference on Smart and Sustainable Technologies (SpliTech), 23-26 September 2020, Split, Croatia, doi:10.23919/splitech49282.2020.9243849."]}