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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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    <dct:title>Power System Transient Stability Assessment Simulations Dataset - IEEE New England 39-bus test case</dct:title>
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    <dcat:keyword>power system</dcat:keyword>
    <dcat:keyword>transient stability</dcat:keyword>
    <dcat:keyword>machine learning</dcat:keyword>
    <dcat:keyword>deep learning</dcat:keyword>
    <dcat:keyword>New England test case</dcat:keyword>
    <dcat:keyword>MATLAB/Simulink</dcat:keyword>
    <dcat:keyword>PMU signals</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-02-09</dct:issued>
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    <dct:description>&lt;p&gt;This dataset contains phasor measurements (PMU-type) signals from the &lt;strong&gt;IEEE New England 39-bus power system&lt;/strong&gt; test case network, which are generated from a large corpus of systematic &lt;strong&gt;MATLAB&amp;reg;/Simulink&lt;/strong&gt; electro-mechanical transients simulations. It was prepared to serve as a convenient and open database for experimenting with different types of &lt;strong&gt;machine learning&lt;/strong&gt; (including deep learning) techniques for &lt;strong&gt;transient stability assessment&lt;/strong&gt; (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.&amp;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.&lt;/p&gt; &lt;p&gt;A &lt;strong&gt;dataset&lt;/strong&gt; is a collection of MAT files (.mat) which can be imported into the MATLAB&amp;reg; Workspace.&lt;/p&gt; &lt;ul&gt; &lt;li&gt;The database consists of 9360 simulations (15x624 simulations) separated into &amp;quot;.mat&amp;quot; files.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;List of variable names&lt;/strong&gt;:&lt;br&gt; Angle_Vabc -- Bus Phase Angles for phase A, B and C (repetitively for different buses)&lt;br&gt; EFD&amp;nbsp; -- EFD in PU&lt;br&gt; LA -- Power Load Angle in degrees&lt;br&gt; Magnitude_Vabc -- Bus Voltage Magnitudes for phase A, B and C (repetitively for different buses)&lt;br&gt; P -- Electrical Power in PU&lt;br&gt; Pe -- Generator Active Power in PU&lt;br&gt; Qe -- Generator Reactive Power in PU&lt;br&gt; SI_id -- Stator d-component Current in PU&lt;br&gt; Si_iq -- Stator q-component Current in PU&lt;br&gt; STOP -- Transient Stability Index (TSI), 0 - in synchronism, 1 - out of synchronism&lt;br&gt; SV_vd -- Stator d-component Voltage in PU&lt;br&gt; SV_vq -- Stator q-component Voltage in PU&lt;br&gt; Vt -- Stator Voltage in PU&lt;br&gt; d_theta -- Rotor Angle Deviation in radians&lt;br&gt; t -- Simulation time, i.e. sampling time&lt;br&gt; theta -- Rotor Mechanical Angle in degrees&lt;br&gt; w -- Rotor Speed in PU&lt;/p&gt; &lt;p&gt;&lt;strong&gt;License&lt;/strong&gt;:&lt;strong&gt; &lt;/strong&gt;Creative Commons CC-BY&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Disclaimer&lt;/strong&gt;: This dataset is provided &amp;quot;as is&amp;quot;, without any warranties of any kind.&lt;/p&gt;</dct:description>
    <dct: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.</dct:description>
    <dct:description>{"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"]}</dct:description>
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