IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i24p8304-d698727.html
   My bibliography  Save this article

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

Author

Listed:
  • Jose-María Sierra-Fernández

    (Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain)

  • Olivia Florencias-Oliveros

    (Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain)

  • Manuel-Jesús Espinosa-Gavira

    (Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain)

  • Juan-José González-de-la-Rosa

    (Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain)

  • Agustín Agüera-Pérez

    (Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain)

  • José-Carlos Palomares-Salas

    (Department of Automation Engineering, Electronics, Architecture and Computers Networks, Research Group PAIDI-TIC-168, University of Cádiz, E-11202 Algeciras, Spain)

Abstract

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.

Suggested Citation

  • Jose-María Sierra-Fernández & Olivia Florencias-Oliveros & Manuel-Jesús Espinosa-Gavira & Juan-José González-de-la-Rosa & Agustín Agüera-Pérez & José-Carlos Palomares-Salas, 2021. "Online System for Power Quality Operational Data Management in Frequency Monitoring Using Python and Grafana," Energies, MDPI, vol. 14(24), pages 1-15, December.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8304-:d:698727
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/24/8304/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/24/8304/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Javier Fernández-Morales & Juan-José González-de-la Rosa & José-María Sierra-Fernández & Manuel-Jesús Espinosa-Gavira & Olivia Florencias-Oliveros & Agustín Agüera-Pérez & José-Carlos Palomares-Salas , 2022. "Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana," Data, MDPI, vol. 7(6), pages 1-10, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8304-:d:698727. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.