Optimum System for Diagnosing Power Quality in Electrical Microgrids

An electrical measurement network designed for analyzing power quality within microgrids is presented in this paper. It is very portable and easy to install across various types of microgrids. Data collected by the system meet the standards for measuring electrical parameters, calculating waveforms spectra and comparing results from different microgrid nodes. The measurements provided by the network are useful for both utility and consumer sides. The system’s effectiveness is verified through two experimental setups, specifically built ad hoc: one for testing the accuracy of the measurements obtained and the other for assessing the suitability of these measurements for power quality analysis.

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Publication Details

Journal
Applied Sciences
Published
2024-08-30
DOI
https://doi.org/10.3390/app14177666
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.66

Funders

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article

Optimum System for Diagnosing Power Quality in Electrical Microgrids

José Manuel Andújar, Gabriel Gómez-Ruiz, Reyes S. Herrera, Aránzazu D. Martín
2 citations
Applied Sciences
Microgrid Control and Optimization
0.66
article

Optimum System for Diagnosing Power Quality in Electrical Microgrids

José Manuel Andújar, Gabriel Gómez-Ruiz, Reyes S. Herrera, Aránzazu D. Martín
article en
2 citations

Abstract

An electrical measurement network designed for analyzing power quality within microgrids is presented in this paper. It is very portable and easy to install across various types of microgrids. Data collected by the system meet the standards for measuring electrical parameters, calculating waveforms spectra and comparing results from different microgrid nodes. The measurements provided by the network are useful for both utility and consumer sides. The system’s effectiveness is verified through two experimental setups, specifically built ad hoc: one for testing the accuracy of the measurements obtained and the other for assessing the suitability of these measurements for power quality analysis.

Applied SciencesVol. 14(17)
Universidad de Huelva (ES)
Universidad de Huelva
Affordable and clean energy
Openalex Percentile: Top 31%
Microgrid Control and Optimization
0.66
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