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Methodology for the Surveillance the Voltage Supply in Public Buildings Using the ITIC Curve and Python Programming

Author

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  • Javier Fernández-Morales

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

Abstract

This paper proposes an easy-to-implement method for detecting and assessing two of the most frequent PQ (Power Quality) problems: voltage sags and swells. These can affect sensitive equipment such as computers, programmable logic controllers, contactors, etc. Therefore, it is of great interest to implement it in any laboratory, not only for protection reasons but also as a safeguard for claims against the supply company. Thanks to the actual context, in which it is possible to manage big volumes of data, connect multiple devices with IoT (Internet of Things), etc., it is feasible and of great interest to monitor the voltage at specific points of the network. This makes it possible to detect voltage sags and swells and diagnose which points are more prone to this type of problems. For the detection of sags and swells, a program written in Python is in charge of crawling all the files in the database and target those RMS values that fall outside the established limits. Compared to LabVIEW, which might have been the most logical alternative, being the acquisition hardware from the same company (National Instruments), Python has a higher computational performance and is also free of charge, unlike LabVIEW. Thanks to the libraries available in Python , it allows a hardware control close to what is possible using LabVIEW. Implemented in MATLAB, the ITIC (Information Technology Industry Council) power acceptability curve reflects the impact of these power quality disturbances in electrical power systems. The results showed that the combined action of Python and MATLAB performed well on a conventional desktop computer.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:11:p:162-:d:975256
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    References listed on IDEAS

    as
    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.
    2. Alena Otcenasova & Roman Bodnar & Michal Regula & Marek Hoger & Michal Repak, 2017. "Methodology for Determination of the Number of Equipment Malfunctions Due to Voltage Sags," Energies, MDPI, vol. 10(3), pages 1-26, March.
    Full references (including those not matched with items on IDEAS)

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