Power quality events detection using fourth-order spectra

Author

Gonzalez de la Rosa, Juan Jose ; Sierra-Fernandez, Jose Maria ; Aguera-Perez, Agustin ; Palomares-Salas, Jose Carlos ; Moreno-Munoz, A.

Author_Institution

Res. Group PAIDI-TIC-168, Univ. of Cadiz. Electron., Algeciras, Spain

fYear

2013

fDate

5-7 June 2013

Firstpage

13

Lastpage

18

Abstract

This paper introduces the use of a fourth-order frequency-domain statistical estimator, the spectral kurtosis (SK), in the field of power-quality analysis. The research has been organized in the frame of a research national project and points towards the implementation of these techniques into an automatic platform to perform PQ analysis in power plants and power inverters. Higher-order statistics in the frequency domain manage to distinguish 3 types of electrical anomalies (sags, swells and transients), with an accuracy of 83%.

Keywords

invertors; power supply quality; statistical analysis; PQ analysis; automatic platform; electrical anomalies; fourth-order frequency-domain statistical estimator; fourth-order spectra; frequency domain; higher-order statistics; power inverters; power plants; power quality events detection; power-quality analysis; research national project; sags; spectral kurtosis; swells; transients; Higher order statistics; Power quality; Signal processing; Time-domain analysis; Time-frequency analysis; Transient analysis; Frequency domain analysis; Higher-Order Statistics (HOS); Power Quality (PQ); Spectral Kurtosis (SK);

fLanguage

English

Publisher

ieee

Conference_Titel

Compatibility and Power Electronics (CPE), 2013 8th International Conference on

Conference_Location

Ljubljana

ISSN

2166-9538

Print_ISBN

978-1-4673-4911-6

Type

conf

DOI

10.1109/CPE.2013.6601121

Filename

6601121