IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v7y2022i6p77-d832752.html
   My bibliography  Save this article

Statistical Dataset and Data Acquisition System for Monitoring the Voltage and Frequency of the Electrical Network in an Environment Based on Python and Grafana

Author

Listed:
  • Javier Fernández-Morales

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

  • Juan-José González-de-la Rosa

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

  • José-María Sierra-Fernández

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

  • Manuel-Jesús Espinosa-Gavira

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

  • Olivia Florencias-Oliveros

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

  • Agustín Agüera-Pérez

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

  • José-Carlos Palomares-Salas

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

  • Paula Remigio-Carmona

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

Abstract

This article presents a unique dataset, from a public building, of voltage data, acquired using a hybrid measurement solution that combines Python TM for acquisition and Grafana TM for results representation. This study aims to benefit communities, by demonstrating how to achieve more efficient energy management. The study outlines how to obtain a more realistic vision of the quality of the supply, that is oriented to the monitoring of the state of the network; this should allow for better understanding, which should in turn enable the optimization of the operation and maintenance of power systems. Our work focused on frequency and higher order statistical estimators which, combined with exploratory data analysis techniques, improved the characterization of the shape of the stress signal. These techniques and data, together with the acquisition and monitoring system, present a unique combination of low-cost measurement solutions, which have the underlying benefit of contributing to industrial benchmarking. Our study proposes an effective and versatile system, which can do acquisition, statistical analysis, database management and results representation in less than a second. The system offers a wide variety of graphs to present the results of the analysis, so that the user can observe them and identify, with relative ease, any anomalies in the supply which could damage the sensitive equipment of the correspondent installation. It is a system, therefore, that not only provides information about the power quality, but also significantly contributes to the safety and maintenance of the installation. This system can be practically realized, subject to the availability of internet access.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:6:p:77-:d:832752
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/7/6/77/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/7/6/77/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Khalid Alnowibet & Andres Annuk & Udaya Dampage & Mohamed A. Mohamed, 2021. "Effective Energy Management via False Data Detection Scheme for the Interconnected Smart Energy Hub–Microgrid System under Stochastic Framework," Sustainability, MDPI, vol. 13(21), pages 1-32, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jesús Álvarez-Higueruela & Francisco-José Gutiérrez-Villalba & José-María Sierra-Fernández & Juan-José González-de-la-Rosa & Olivia Florencias-Oliveros & José-Carlos Palomares-Salas & Agustín Agüera-P, 2023. "Characterization of the Hydropower Inlet Effect on the Electric Network Frequency," Energies, MDPI, vol. 16(9), pages 1-13, April.
    2. Javier Fernández-Morales & Juan-José González-de-la-Rosa & José-María Sierra-Fernández & Olivia Florencias-Oliveros & Paula Remigio-Carmona & Manuel-Jesús Espinosa-Gavira & Agustín Agüera-Pérez & José, 2022. "Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming," Data, MDPI, vol. 7(11), pages 1-10, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jian Chen & Tao Jin & Mohamed A. Mohamed & Andres Annuk & Udaya Dampage, 2022. "Investigating the Impact of Wind Power Integration on Damping Characteristics of Low Frequency Oscillations in Power Systems," Sustainability, MDPI, vol. 14(7), pages 1-23, March.
    2. Abdulaziz Almalaq & Saleh Albadran & Mohamed A. Mohamed, 2022. "Deep Machine Learning Model-Based Cyber-Attacks Detection in Smart Power Systems," Mathematics, MDPI, vol. 10(15), pages 1-16, July.
    3. Abdulaziz Almalaq & Saleh Albadran & Mohamed A. Mohamed, 2023. "An Adoptive Miner-Misuse Based Online Anomaly Detection Approach in the Power System: An Optimum Reinforcement Learning Method," Mathematics, MDPI, vol. 11(4), pages 1-22, February.
    4. Wei Hou & Rita Yi Man Li & Thanawan Sittihai, 2022. "Management Optimization of Electricity System with Sustainability Enhancement," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    5. Hassan M. H. Farh & Abdullrahman A. Al-Shamma’a & Abdullah M. Al-Shaalan & Abdulaziz Alkuhayli & Abdullah M. Noman & Tarek Kandil, 2022. "Technical and Economic Evaluation for Off-Grid Hybrid Renewable Energy System Using Novel Bonobo Optimizer," Sustainability, MDPI, vol. 14(3), pages 1-18, January.
    6. Qunpeng Fan, 2022. "Management and Policy Modeling of the Market Using Artificial Intelligence," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    7. Patricia Stefan de Carvalho & Julio Cezar Mairesse Siluk & Henrique Luís Sauer Oliveira & Vinicius Jacques Garcia & Jones Luís Schaefer & Ricardo Augusto Cassel & José Renes Pinheiro, 2024. "Diagnosis of the Energy Regulatory Scenario with Emphasis on Smart Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 11-26, March.
    8. Jian Xiao & Wei Hou, 2022. "Cost Estimation Process of Green Energy Production and Consumption Using Probability Learning Approach," Sustainability, MDPI, vol. 14(12), pages 1-14, June.
    9. Saleh Abdulaziz Almarzooq & Abdullah M. Al-Shaalan & Hassan M. H. Farh & Tarek Kandil, 2022. "Energy Conservation Measures and Value Engineering for Small Microgrid: New Hospital as a Case Study," Sustainability, MDPI, vol. 14(4), pages 1-18, February.

    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:jdataj:v:7:y:2022:i:6:p:77-:d:832752. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.