Analysis of public datasets of power quality distortions

Domínguez Gimeno, Sergio ; Igual Catalán, Raúl (Universidad de Zaragoza) ; Medrano Sánchez, Carlos (Universidad de Zaragoza)

Resumen: Automatic classification of power quality distortions has gained interest in research due to the proliferation of distributed power systems with renewable sources. To train and test a classification system, data with power quality distortions are required. Most studies generate synthetic data from mathematical equations, since real distortions are difficult to record. A possible alternative is to use public datasets of real disturbances. However, there are strong differences among public datasets. In this paper, existing datasets of power quality distortions were compiled and their main features were analysed and compared. To the best of our knowledge, this is the first work reviewing these datasets. To identify the datasets, the most cited papers on this topic were surveyed. In addition, systematic searches were conducted in four popular scientific repositories. As a result, four available datasets were identified. They included a limited number of samples (20- 44) and types of distortions. Sampling frequencies and recording conditions were appropriate and the two main fundamental grid frequencies (50 and 60 Hz) were also considered. Although these datasets are appropriate for partially testing automatic classifiers, a remaining research effort is to provide comprehensive datasets with hundreds of samples and several types of distortions.

Idioma: Inglés

DOI: 10.24084/repqj18.317

Año: 2020

Publicado en: Renewable Energy and Power Quality Journal 18 (2020), 321-326
ISSN: 2172-038X

Factor impacto SCIMAGO: 0.136 - Electrical and Electronic Engineering (Q4) - Renewable Energy, Sustainability and the Environment (Q4) - Energy Engineering and Power Technology (Q4)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/T49-17R
Financiación: info:eu-repo/grantAgreement/ES/MECD/CAS18/218
Financiación: info:eu-repo/grantAgreement/ES/UZ/IT1-19

Tipo y forma: Article (Published version)

Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)
Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)