Treffer: Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana

Title:
Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana
Contributors:
Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores
Source:
Energies 2021, 14(24), 8304
Publisher Information:
MDPI
Publication Year:
2022
Collection:
RODIN - Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108953RB-C21/ES/DATOS OPERACIONALES ENERGETICOS Y METEOROLOGICOS PARA SISTEMAS FOTOVOLTAICOS/; info:eu-repo/grantAgreement/Junta de Andalucía//FEDER-UCA18-108516; http://hdl.handle.net/10498/26415
DOI:
10.3390/en14248304
Rights:
Atribución 4.0 Internacional ; http://creativecommons.org/licenses/by/4.0/ ; open access
Accession Number:
edsbas.C46F7B70
Database:
BASE

Weitere Informationen

This article proposes a measurement solution designed to monitor the instantaneous frequency in power systems. It uses a data acquisition module and a GPS receiver for time stamping and traceability. A Python-based module receives data, computes the frequency, and finally transfers the measurement results to a database. The frequency is calculated with two different methods, which are compared in the article. The stored data is visualized using the Grafana platform, thus demonstrating its potential for comparing scientific data. The system as a whole constitutes an efficient, low-cost solution as a data acquisition system. ; This research is funded by the Spanish Ministry of Science and Education through the project PID2019-108953RB-C21; has been co-financed by the European Union under the 2014-2020 ERDF Operational Program. Additionally, funding for frequency monitoring comes from the Andalusian-FEDER project FEDER-UCA18-108516 (Intelligent Techniques for visualization and data compression of PQ data in the smart grid).