RT journal article
T1 A Dual Monitoring Technique to Detect Power Quality Transients Based on the Fourth-Order Spectrogram
A1 González de la Rosa, Juan José
A1 Agüera Pérez, Agustín
A1 Palomares Salas, José Carlos
A1 Florencias Oliveros, Olivia
A1 Sierra Fernández, José María
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 higher-order statistics
K1 micro grids
K1 power quality (PQ)
K1 spectral kurtosis (SK)
K1 spectrogram
K1 time–frequency analysis
K1 transient detection
AB 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.
PB MDPI
SN 1996-1073
YR 2018
FD 2018-02-27
LK http://hdl.handle.net/10498/35175
UL http://hdl.handle.net/10498/35175
LA eng
NO Author ContributionsJuan-José González-de-la-Rosa proposed the spectral kurtosis as a tool to monitor PQ events, and designed the experiment and the paper layout; Agustín Agüera-Pérez designed the software and the experiment strategy with José-Carlos Palomares-Salas; Olivia Florencias-Oliveros selected the signals from the database and arranged the instrumentation; José-María Sierra-Fernández contributed to the optimization of the spectral kurtosis.
NO This research was supported by the Spanish Ministry of Economy, Industry and Competitiveness in the work flow of the State Plan of Excellency and Challenges for Research, via the project TEC2016-77632-C3-3-R-COntrol and Management of Isolable NanoGrids: Smart Instruments for Solar forecasting and Energy Monitoring (COMING-SISEM), which involves the development of new measurement techniques applied to monitor the PQ in micro-grids. Additionally, we express our gratitude to the Andalusian Government for funding the Research Group PAIDI-TIC-168 in Computational Instrumentation and Industrial Electronics (ICEI).
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026