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

Santiago Bustamante-Mesa, Jorge W. Gonzalez-Sanchez, Sergio D. Saldarriaga-Zuluaga, Jesús M. López-Lezama () and Nicolás Muñoz-Galeano
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Santiago Bustamante-Mesa: Departamento de Eléctrica, Facultad de Ingenieria, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellín 050036, Colombia
Jorge W. Gonzalez-Sanchez: Grupo de Investigación Transmisión y Distribución de Energía Eléctrica (TyD), Universidad Pontificia Bolivariana, Medellín 050031, Colombia
Sergio D. Saldarriaga-Zuluaga: Departamento de Eléctrica, Facultad de Ingenieria, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellín 050036, Colombia
Jesús M. López-Lezama: Research Group on Efficient Energy Management (GIMEL), Department of Electrical Engineering, Universidad de Antioquia (UdeA), Calle 70 No. 52-21, Medellín 050010, Colombia
Nicolás Muñoz-Galeano: Research Group on Efficient Energy Management (GIMEL), Department of Electrical Engineering, Universidad de Antioquia (UdeA), Calle 70 No. 52-21, Medellín 050010, Colombia

Data, 2024, vol. 9, issue 6, 1-8

Abstract: 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.

Keywords: inertia; virtual power plants; genetic algorithms; VSC-HVDC; UFLS (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2024
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