Dataset Open Access

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

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


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.4521886</identifier>
  <creators>
    <creator>
      <creatorName>Sarajcev, Petar</creatorName>
      <givenName>Petar</givenName>
      <familyName>Sarajcev</familyName>
      <affiliation>University of Split, FESB</affiliation>
    </creator>
    <creator>
      <creatorName>Kunac, Antonijo</creatorName>
      <givenName>Antonijo</givenName>
      <familyName>Kunac</familyName>
      <affiliation>University of Split, FESB</affiliation>
    </creator>
    <creator>
      <creatorName>Petrovic, Goran</creatorName>
      <givenName>Goran</givenName>
      <familyName>Petrovic</familyName>
      <affiliation>University of Split, FESB</affiliation>
    </creator>
    <creator>
      <creatorName>Despalatovic, Marin</creatorName>
      <givenName>Marin</givenName>
      <familyName>Despalatovic</familyName>
      <affiliation>University of Split, FESB</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Power System Transient Stability Assessment Simulations Dataset - IEEE New England 39-bus test case</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>power system</subject>
    <subject>transient stability</subject>
    <subject>machine learning</subject>
    <subject>deep learning</subject>
    <subject>New England test case</subject>
    <subject>MATLAB/Simulink</subject>
    <subject>PMU signals</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-02-09</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4521886</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4521885</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&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;</description>
    <description descriptionType="Other">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>
    <description descriptionType="Other">{"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"]}</description>
  </descriptions>
</resource>
609
299
views
downloads
All versions This version
Views 609609
Downloads 299299
Data volume 1.1 TB1.1 TB
Unique views 529529
Unique downloads 185185

Share

Cite as