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

### Citation Style Language JSON Export

{
"DOI": "10.1109/MSCPES.2018.8405403",
"author": [
{
"family": "Jose Rueda"
},
{
"family": "Peter Palensky"
},
{
"family": "Jorge Mola-Jimenez"
},
{
},
{
"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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