Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On Python and Grafana

Javier Fernández-Morales; Juan-José González-de-la Rosa; José-María Sierra-Fernández; Manuel-Jesús Espinosa-Gavira; Olivia Florencias-Oliveros; Agustín Agüera-Pérez; and José-Carlos Palomares-Salas; Paula Remigio Carmona

doi:10.20944/preprints202203.0051.v1

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preprints.org > engineering > electrical and electronic engineering > doi: 10.20944/preprints202203.0051.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On Python and Grafana

Javier Fernández-Morales

Juan-José González-de-la Rosa

^* ,

José-María Sierra-Fernández

Manuel-Jesús Espinosa-Gavira

Olivia Florencias-Oliveros

Agustín Agüera-Pérez

and José-Carlos Palomares-Salas

Paula Remigio Carmona

Version 1 : Received: 2 March 2022 / Approved: 3 March 2022 / Online: 3 March 2022 (04:32:09 CET)

How to cite: Fernández-Morales, J.; Rosa, J.G.; Sierra-Fernández, J.; Espinosa-Gavira, M.; Florencias-Oliveros, O.; Agüera-Pérez, A.; Palomares-Salas, A.J.; Carmona, P.R. Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On Python and Grafana. Preprints 2022, 2022030051. https://doi.org/10.20944/preprints202203.0051.v1 Fernández-Morales, J.; Rosa, J.G.; Sierra-Fernández, J.; Espinosa-Gavira, M.; Florencias-Oliveros, O.; Agüera-Pérez, A.; Palomares-Salas, A.J.; Carmona, P.R. Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On Python and Grafana. Preprints 2022, 2022030051. https://doi.org/10.20944/preprints202203.0051.v1

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MDPI and ACS Style

Fernández-Morales, J.; Rosa, J.G.; Sierra-Fernández, J.; Espinosa-Gavira, M.; Florencias-Oliveros, O.; Agüera-Pérez, A.; Palomares-Salas, A.J.; Carmona, P.R. Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On Python and Grafana. Preprints 2022, 2022030051. https://doi.org/10.20944/preprints202203.0051.v1

APA Style

Fernández-Morales, J., Rosa, J.G., Sierra-Fernández, J., Espinosa-Gavira, M., Florencias-Oliveros, O., Agüera-Pérez, A., Palomares-Salas, A.J., & Carmona, P.R. (2022). Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On Python and Grafana. Preprints. https://doi.org/10.20944/preprints202203.0051.v1

Chicago/Turabian Style

Fernández-Morales, J., and José-Carlos Palomares-Salas and Paula Remigio Carmona. 2022 "Statistical Data Set and Data Acquisition System for Monitoring The Voltage and Frequency of The Electrical Network in An Environment Based On Python and Grafana" Preprints. https://doi.org/10.20944/preprints202203.0051.v1

Abstract

This article presents a unique set of voltage and current data from a public building and acquired using a hybrid measurement solution that combines Python and Grafana. The transversal purpose consists of contributing to the community with a vision of the quality of the supply more oriented to the monitoring of the state of the network, providing a more realistic vision, which allows a better understanding, and the adoption of the best decisions to achieve the efficient energy management and thus optimize the operation and maintenance of power systems. The work focuses on higher order statistical estimators that, combined with exploratory data analysis techniques, improve the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination in the line of low-cost measurement solutions. It also incorporates the underlying benefit of the contribution to industrial benchmarking. The paper also includes a computational comparison between Python and LabVIEW to elicit the performance of the measurement solution.

Keywords

Grid frequency; GrafanaTM; Higher-order statistics; LabVIEWTM; Low-cost instrument; Net-work-attached storage; Power Quality; PythonTM; Statistical Signal Processing; Voltage monitoring

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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