A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-02-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/3/503 |
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| author | Juan-José González-de-la-Rosa Agustín Agüera-Pérez José-Carlos Palomares-Salas Olivia Florencias-Oliveros José-María Sierra-Fernández |
| author_facet | Juan-José González-de-la-Rosa Agustín Agüera-Pérez José-Carlos Palomares-Salas Olivia Florencias-Oliveros José-María Sierra-Fernández |
| author_sort | Juan-José González-de-la-Rosa |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:49:27Z |
| format | Article |
| id | doaj.art-f88fd0954fde44e99a9f4d9ffd6ddb12 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:49:27Z |
| publishDate | 2018-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f88fd0954fde44e99a9f4d9ffd6ddb122022-12-22T03:58:38ZengMDPI AGEnergies1996-10732018-02-0111350310.3390/en11030503en11030503A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order SpectrogramJuan-José González-de-la-Rosa0Agustín Agüera-Pérez1José-Carlos Palomares-Salas2Olivia Florencias-Oliveros3José-María Sierra-Fernández4Research 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, SpainResearch 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, SpainResearch 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, SpainResearch 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, SpainResearch 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, SpainThis 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.http://www.mdpi.com/1996-1073/11/3/503higher-order statisticsmicro gridspower quality (PQ)spectral kurtosis (SK)spectrogramtime–frequency analysistransient detection |
| spellingShingle | Juan-José González-de-la-Rosa Agustín Agüera-Pérez José-Carlos Palomares-Salas Olivia Florencias-Oliveros José-María Sierra-Fernández A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram Energies higher-order statistics micro grids power quality (PQ) spectral kurtosis (SK) spectrogram time–frequency analysis transient detection |
| title | A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram |
| title_full | A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram |
| title_fullStr | A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram |
| title_full_unstemmed | A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram |
| title_short | A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram |
| title_sort | dual monitoring technique to detect power quality transients based on the fourth order spectrogram |
| topic | higher-order statistics micro grids power quality (PQ) spectral kurtosis (SK) spectrogram time–frequency analysis transient detection |
| url | http://www.mdpi.com/1996-1073/11/3/503 |
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