Data for Optimal Estimation of Under-Frequency Load Shedding Scheme Parameters by Considering Virtual Inertia Injection

The data presented in this paper are related to the paper entitled “Optimal Estimation of Under-Frequency Load Shedding Scheme Parameters by Considering Virtual Inertia Injection”, available in the Energies journal. Here, data are included to show the results of an Under-Frequency Load Shedding (UFL...

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Bibliographic Details
Published inData (Basel) Vol. 9; no. 6; p. 80
Main Authors Bustamante-Mesa, Santiago, Gonzalez-Sanchez, Jorge W, Saldarriaga-Zuluaga, Sergio D, López-Lezama, Jesús M, Muñoz-Galeano, Nicolás
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2024
Subjects
Algorithms
Case studies
Colombia
Configurations
Datasets
Electric fault location
Electric power
Electric power systems
Electricity distribution
Frequency response
genetic algorithms
Inertia
Linear programming
Load shedding
Methods
Optimization
Parameters
Relay
Simulation
Systems stability
UFLS
virtual power plants
VSC-HVDC
Wave frequency
Colombia
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Summary:The data presented in this paper are related to the paper entitled “Optimal Estimation of Under-Frequency Load Shedding Scheme Parameters by Considering Virtual Inertia Injection”, available in the Energies journal. Here, data are included to show the results of an Under-Frequency Load Shedding (UFLS) scheme that considers the injection of virtual inertia by a VSC-HVDC link. The data obtained in six cases which were considered and analyzed are shown. In this paper, each case represents a different frequency response configuration in the event of generation loss, taking into account the presence or absence of a VSC-HVDC link, traditional and optimized UFLS schemes, as well as the injection of virtual inertia by the VSC-HVDC link. Data for each example contain the state of the relay, threshold, position in every delay, load shed, and relay configuration parameters. Data were obtained through Digsilent Power Factory and Python simulations. The purpose of this dataset is so that other researchers can reproduce the results reported in our paper. Dataset: 10.5281/zenodo.11371324 Dataset License: Creative Commons Attribution 4.0 International (CC BY 4.0)
ISSN:2306-5729
2306-5729
DOI:10.3390/data9060080