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A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram

Author

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  • Juan-José González-de-la-Rosa

    (Research Group Plan Andaluz Investigación Desarrollo Tecnológico e Innovación-Tecnologías de la Información y Comunicación-168 (PAIDI-TIC-168): Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

  • Agustín Agüera-Pérez

    (Research Group Plan Andaluz Investigación Desarrollo Tecnológico e Innovación-Tecnologías de la Información y Comunicación-168 (PAIDI-TIC-168): Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

  • José-Carlos Palomares-Salas

    (Research Group Plan Andaluz Investigación Desarrollo Tecnológico e Innovación-Tecnologías de la Información y Comunicación-168 (PAIDI-TIC-168): Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

  • Olivia Florencias-Oliveros

    (Research Group Plan Andaluz Investigación Desarrollo Tecnológico e Innovación-Tecnologías de la Información y Comunicación-168 (PAIDI-TIC-168): Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

  • José-María Sierra-Fernández

    (Research Group Plan Andaluz Investigación Desarrollo Tecnológico e Innovación-Tecnologías de la Información y Comunicación-168 (PAIDI-TIC-168): Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

Abstract

This paper presents a higher-order statistics-based approach of detecting transients that uses the fourth-order discrete spectrogram to monitor the power supply in a node of the domestic smart grid. Taking advantage of the mixed time–frequency domain information, the method allows for the transient detection and the subsequent identification of the potential area in which the fault takes place. The proposed method is evaluated through real power-line signals from the Spanish electrical grid. Thanks to the peakedness enhancement capability of the higher-order spectra, the results show that the procedure is able to detect low-level transients, which are likely ignored by the traditional detection procedures, where the concern pertains to power reliability (not oriented to micro grids), and this, by analyzing the duration and frequency content of the electrical perturbation, may indicate prospective faulty states of elements in a grid. Easy to implement in a hand-held instrument, the computational strategy has a 5 Hz resolution in the range 0–500 Hz and a 50 Hz resolution in the range of 0–5 kHz, and could be consequently used by technicians in order to allocate new types of transients originated by the distributed energy resources. Four real-life case-studies illustrate the performance.

Suggested Citation

  • Juan-José González-de-la-Rosa & Agustín Agüera-Pérez & José-Carlos Palomares-Salas & Olivia Florencias-Oliveros & José-María Sierra-Fernández, 2018. "A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram," Energies, MDPI, vol. 11(3), pages 1-12, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:503-:d:133592
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    References listed on IDEAS

    as
    1. Juan José González De la Rosa & José María Sierra-Fernández & José Carlos Palomares-Salas & Agustín Agüera-Pérez & Álvaro Jiménez Montero, 2015. "An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events," Energies, MDPI, vol. 8(9), pages 1-17, September.
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    Cited by:

    1. Kewei Cai & Belema Prince Alalibo & Wenping Cao & Zheng Liu & Zhiqiang Wang & Guofeng Li, 2018. "Hybrid Approach for Detecting and Classifying Power Quality Disturbances Based on the Variational Mode Decomposition and Deep Stochastic Configuration Network," Energies, MDPI, vol. 11(11), pages 1-18, November.
    2. José-María Guerrero-Rodríguez & Clemente Cobos-Sánchez & Juan-José González-de-la-Rosa & Diego Sales-Lérida, 2019. "An Embedded Sensor Node for the Surveillance of Power Quality," Energies, MDPI, vol. 12(8), pages 1-20, April.

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