Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Online System for Power Quality Operational Data Management in Frequency Monitoring using Python and Grafana

Jose-María Sierra-Fernández
ORCID logo ,
Olivia Florencias-Oliveros
ORCID logo ,
Manuel-Jesús Espinosa-Gavira
,
Juan-José González-de-la-Rosa
* ORCID logo ,
Agustín Agüera-Pérez
ORCID logo ,
José-Carlos Palomares-Salas
ORCID logo
Version 1 : Received: 15 October 2021 / Approved: 18 October 2021 / Online: 18 October 2021 (18:07:43 CEST)

A peer-reviewed article of this Preprint also exists.

Sierra-Fernández, J.-M.; Florencias-Oliveros, O.; Espinosa-Gavira, M.-J.; González-de-la-Rosa, J.-J.; Agüera-Pérez, A.; Palomares-Salas, J.-C. Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana. Energies 2021, 14, 8304. Sierra-Fernández, J.-M.; Florencias-Oliveros, O.; Espinosa-Gavira, M.-J.; González-de-la-Rosa, J.-J.; Agüera-Pérez, A.; Palomares-Salas, J.-C. Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana. Energies 2021, 14, 8304.

Abstract

This article proposes a measurement solution designed to monitor instantaneous frequency in power systems. It uses a data acquisition module and a GPS receiver for time stamping. A program in Python takes care of receiving the data, calculating the frequency, and finally transferring 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.

Keywords

big data; data acquisition; data visualization; data exchange; dashboard; frequency stability; Grafana lab; Power Quality; GPS reference; frequency measurement.

Subject

Engineering, Electrical and Electronic Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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