Conference paper Open Access

PowerFactory-Python based assessment of frequency and transient stability in power systems dominated by power electronic interfaced generation

Jose Rueda; Peter Palensky; Jorge Mola-Jimenez; Arcadio Perilla; Da Wang; Mart van der Meijden

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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:creator>Jose Rueda</dc:creator>
<dc:creator>Peter Palensky</dc:creator>
<dc:creator>Jorge Mola-Jimenez</dc:creator>
<dc:creator>Da Wang</dc:creator>
<dc:creator>Mart van der Meijden</dc:creator>
<dc:date>2019-02-20</dc:date>
<dc:description>The deployment of variable renewable energy based power plants is increasing all over the world, however, unlike
conventional power plants these are mostly connected to the grid via power electronic interfaces. High penetration of power
electronic interfaced generation (PEIG) has an important impact on the inertia of the system, which is of major concern for
frequency and large disturbance rotor angle (transient) stability. Therefore, it is desirable to study the effectiveness of widely
used approaches to assess the stability of a system with high penetration of PEIG. This paper concerns with the modelling and
control aspects of a power system for the evaluation of the most widely used metrics (indicators) to assess the dynamics of the
power system related to frequency and rotor angle stability. The functionalities of Python are used to automate the generation of
operational scenarios, the execution of time domain simulations, and the extraction of signal records to compute the aforesaid
indicators. The paper also provides a discussion about possible improvements in the application of these indicators in monitoring
<dc:identifier>https://zenodo.org/record/2573889</dc:identifier>
<dc:identifier>10.1109/MSCPES.2018.8405403</dc:identifier>
<dc:identifier>oai:zenodo.org:2573889</dc:identifier>
<dc:relation>info:eu-repo/grantAgreement/EC/H2020/691800/</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:subject>Frequency stability, key performance indicators, power electronics interfaced generation, power system dynamics, transient stability, wind power</dc:subject>
<dc:title>PowerFactory-Python based assessment of frequency and transient stability in power systems dominated by power electronic interfaced generation</dc:title>
<dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
<dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>

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