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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{
  "DOI": "10.1109/MSCPES.2018.8405403", 
  "author": [
    {
      "family": "Jose Rueda"
    }, 
    {
      "family": "Peter Palensky"
    }, 
    {
      "family": "Jorge Mola-Jimenez"
    }, 
    {
      "family": "Arcadio Perilla"
    }, 
    {
      "family": "Da Wang"
    }, 
    {
      "family": "Mart van der Meijden"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2019, 
        2, 
        20
      ]
    ]
  }, 
  "abstract": "<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>", 
  "title": "PowerFactory-Python based assessment of frequency and transient stability in power systems dominated by power electronic interfaced generation", 
  "type": "paper-conference", 
  "id": "2573889"
}
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