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

Sarajcev, Petar; Kunac, Antonijo; Petrovic, Goran; Despalatovic, Marin


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    "description": "<p>This dataset contains phasor measurements (PMU-type) signals from the <strong>IEEE New England 39-bus power system</strong> test case network, which are generated from a large corpus of systematic <strong>MATLAB&reg;/Simulink</strong> 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> (including deep learning) techniques for <strong>transient stability assessment</strong> (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.&nbsp;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.</p>\n\n<p>A <strong>dataset</strong> is a collection of MAT files (.mat) which can be imported into the MATLAB&reg; Workspace.</p>\n\n<ul>\n\t<li>The database consists of 9360 simulations (15x624 simulations) separated into &quot;.mat&quot; files.</li>\n\t<li>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.</li>\n\t<li>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.</li>\n</ul>\n\n<p><strong>List of variable names</strong>:<br>\nAngle_Vabc -- Bus Phase Angles for phase A, B and C (repetitively for different buses)<br>\nEFD&nbsp; -- EFD in PU<br>\nLA -- Power Load Angle in degrees<br>\nMagnitude_Vabc -- Bus Voltage Magnitudes for phase A, B and C (repetitively for different buses)<br>\nP -- Electrical Power in PU<br>\nPe -- Generator Active Power in PU<br>\nQe -- Generator Reactive Power in PU<br>\nSI_id -- Stator d-component Current in PU<br>\nSi_iq -- Stator q-component Current in PU<br>\nSTOP -- Transient Stability Index (TSI), 0 - in synchronism, 1 - out of synchronism<br>\nSV_vd -- Stator d-component Voltage in PU<br>\nSV_vq -- Stator q-component Voltage in PU<br>\nVt -- Stator Voltage in PU<br>\nd_theta -- Rotor Angle Deviation in radians<br>\nt -- Simulation time, i.e. sampling time<br>\ntheta -- Rotor Mechanical Angle in degrees<br>\nw -- Rotor Speed in PU</p>\n\n<p><strong>License</strong>:<strong> </strong>Creative Commons CC-BY</p>\n\n<p><strong>Disclaimer</strong>: This dataset is provided &quot;as is&quot;, without any warranties of any kind.</p>", 
    "language": "eng", 
    "title": "Power System Transient Stability Assessment Simulations Dataset - IEEE New England 39-bus test case", 
    "license": {
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    "notes": "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.", 
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    "version": "1.0", 
    "references": [
      "Sarajcev, P.; Kunac, A.; Petrovic, G.; Despalatovic, M. Power System Transient Stability Assessment Using Stacked Autoencoder and Voting Ensemble. Energies 2021, 14, 3148. https://doi.org/10.3390/en14113148"
    ], 
    "keywords": [
      "power system", 
      "transient stability", 
      "machine learning", 
      "deep learning", 
      "New England test case", 
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      "PMU signals"
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    "publication_date": "2021-02-09", 
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        "affiliation": "University of Split, FESB", 
        "name": "Sarajcev, Petar"
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        "affiliation": "University of Split, FESB", 
        "name": "Kunac, Antonijo"
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        "affiliation": "University of Split, FESB", 
        "name": "Petrovic, Goran"
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        "affiliation": "University of Split, FESB", 
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