HOS and CBR measurement system for PQ assessment

Author

De la Rosa, Juan José González ; Sierra-Fernández, José María ; Agüera-Pérez, Agustín ; Sedeno, D.A. ; Palomares-Salas, José Carlos ; Montero, Álvaro Jiménez ; Moreno-Muñoz, Antonio

Author_Institution

Res. Unit PAIDI-TIC-168, Univ. of Cadiz, Cádiz, Spain

fYear

2011

fDate

17-19 Oct. 2011

Firstpage

1

Lastpage

6

Abstract

This paper describes an intelligent measurement system for Power Quality (PQ) assessment. Based in Higher-Order Statistics (HOS), its computational intelligence is based in the Case-Based Reasoning (CBR) paradigm. The characterization of the signal is done using the variance, the skewness and the kurtosis over a tuned sliding window. These feature values are introduced in the CBR system and a classification of the signal is performed. The Virtual Instrument (VI) exhibits an accuracy of the 93% over real-life electrical anomalies.

Keywords

case-based reasoning; higher order statistics; power supply quality; power system measurement; signal classification; virtual instrumentation; CBR measurement system; HOS measurement system; PQ assessment; case-based reasoning; computational intelligence; higher order statistics; intelligent measurement system; power quality assessment; real-life electrical anomaly; signal classification; tuned sliding window; virtual instrument; Cognition; Flowcharts; Instruments; Power measurement; Power quality; Shape; Stability analysis; Case-Based Reasoning (CBR); Higher-Order Statistics (HOS); Power Quality (PQ); Sags; Swells; Virtual Instrument (VI); real-time analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Power Quality and Utilisation (EPQU), 2011 11th International Conference on

Conference_Location

Lisbon

ISSN

2150-6647

Print_ISBN

978-1-4673-0379-8

Type

conf

DOI

10.1109/EPQU.2011.6128802

Filename

6128802