An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events

Juan José González De la Rosa, José María Sierra-Fernández, José Carlos Palomares-Salas, Agustín Agüera-Pérez and Álvaro Jiménez Montero
Additional contact information
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), E-11202 Algeciras, Spain
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), E-11202 Algeciras, Spain
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), E-11202 Algeciras, Spain
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), E-11202 Algeciras, Spain
Álvaro Jiménez Montero: 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), E-11202 Algeciras, Spain

Energies, 2015, vol. 8, issue 9, 1-17

Abstract: For the development of the future smart grid, the detection of power quality events is a key issue for the power system monitoring. Voltage sags, swells, harmonics (variations) and interruptions, which produce large losses for commercial and industrial consumers, are the main events to be considered due to the sensitivity of equipment to these electrical anomalies. The steady-state events are even more frequently accompanied by transients, the discrimination and localization being far more exigent and requiring advanced signal separating tools to be incorporated in the measurement equipment. This paper shows the event detection performance of the spectral kurtosis as a signal separating tool in the frequency domain. The disturbances under test are hybrid signals resulting from the coupling between amplitude defects and non-desired higher frequencies. Being a fourth-order spectrum, the kurtosis is confirmed as a noise-resistant tool that enhances impulsiveness, therefore characterizing the electrical anomalies. In the beginning of the analysis, the voltage sag is established as a reference; then, the disturbances (oscillatory transients and harmonics) are coupled at the starting and ending instants of the sag, resulting in complex hybrid events. The results show that the spectral kurtosis enhances the detection Energies 2015, 8 9778 of both types of events (steady state and transients), which are outlined in a bump shape in the fourth-order frequency pattern and centered in the main carrier frequency. Indeed, while the oscillatory transients are associated with softer and lower-amplitude peaks, the harmonics correspond to crisper and higher ones. As these mixed electrical faults are very common in the actual power grid, the article postulates the higher-order spectra to be implemented in prospective online measurement instruments.

Keywords: harmonic distortion; higher-order statistics; mixed PQ(power quality) events; oscillatory transients; power quality; spectral kurtosis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/8/9/9777/pdf (application/pdf)
https://www.mdpi.com/1996-1073/8/9/9777/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2015:i:9:p:9777-9793:d:55446

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().