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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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{
  "description": "<p>The deployment of variable renewable energy based power plants is increasing all over the world, however, unlike<br>\nconventional power plants these are mostly connected to the grid via power electronic interfaces. High penetration of power<br>\nelectronic interfaced generation (PEIG) has an important impact&nbsp;on the inertia of the system, which is of major concern for<br>\nfrequency and large disturbance rotor angle (transient) stability. Therefore, it is desirable to study the effectiveness of widely<br>\nused approaches to assess the stability of a system with high penetration of PEIG. This paper concerns with the modelling and<br>\ncontrol aspects of a power system for the evaluation of the most widely used metrics (indicators) to assess the dynamics of the<br>\npower system related to frequency and rotor angle stability. The functionalities of Python are used to automate the generation of<br>\noperational scenarios, the execution of time domain simulations, and the extraction of signal records to compute the aforesaid<br>\nindicators. The paper also provides a discussion about possible improvements in the application of these indicators in monitoring<br>\ntasks.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Delft University of Technology", 
      "@id": "https://orcid.org/0000-0001-7288-0228", 
      "@type": "Person", 
      "name": "Jose Rueda"
    }, 
    {
      "affiliation": "Delft University of Technology", 
      "@id": "https://orcid.org/0000-0003-3183-4705", 
      "@type": "Person", 
      "name": "Peter Palensky"
    }, 
    {
      "affiliation": "Delft University of Technology", 
      "@type": "Person", 
      "name": "Jorge Mola-Jimenez"
    }, 
    {
      "affiliation": "Delft University of Technology", 
      "@type": "Person", 
      "name": "Arcadio Perilla"
    }, 
    {
      "affiliation": "Delft University of Technology", 
      "@type": "Person", 
      "name": "Da Wang"
    }, 
    {
      "affiliation": "Delft University of Technology", 
      "@type": "Person", 
      "name": "Mart van der Meijden"
    }
  ], 
  "headline": "PowerFactory-Python based assessment of frequency and transient stability in power systems dominated by power electronic interfaced generation", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2019-02-20", 
  "url": "https://zenodo.org/record/2573889", 
  "keywords": [
    "Frequency stability, key performance indicators, power electronics interfaced generation, power system dynamics, transient stability, wind power"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1109/MSCPES.2018.8405403", 
  "@id": "https://doi.org/10.1109/MSCPES.2018.8405403", 
  "@type": "ScholarlyArticle", 
  "name": "PowerFactory-Python based assessment of frequency and transient stability in power systems dominated by power electronic interfaced generation"
}
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