Adaptive detection and classificaion system for power quality disturbances

Author

Sierra-Fernandez, Jose Maria ; de la Rosa, J.J.G. ; Palomares-Salas, Jose Carlos ; Aguera-Perez, Agustin ; Jimenez-Montero, A.

Author_Institution

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

fYear

2013

fDate

6-8 Feb. 2013

Firstpage

525

Lastpage

530

Abstract

This paper describes an intelligent measurement system for Power Quality (PQ) assessment. Computational guts are based in Higher Order Statistics (HOS) and the intelligent decision system is based in the Case-Base Reasoning (CBR) paradigm, which could re-configure its parameter according to the power net conditions. The power signal characterization is done using a sliding window procedure, and calculating the variance, the skewness and the kurtosis over the points inside the window. Those values are introduced in the CBR system and the signal state is returned. If the signal is healthy, the system study the current HOS values for substitute the normal considerations of the CBR system. This procedure returns a precision over the 90%.

Keywords

case-based reasoning; higher order statistics; power supply quality; power system analysis computing; CBR; adaptive detection; case-based reasoning; classification system; higher order statistics; intelligent decision system; intelligent measurement system; power net conditions; power quality assessment; power quality disturbances; power signal characterization; sliding window; Cognition; Higher order statistics; Power grids; Power measurement; Power quality; Power system stability; Shape; Adaptive; Case-Based Reasoning (CBR); HigherOrder Statistics (HOS); Power Quality (PQ); Sags; Swells; real-time analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Power, Energy and Control (ICPEC), 2013 International Conference on

Conference_Location

Sri Rangalatchum Dindigul

Print_ISBN

978-1-4673-6027-2

Type

conf

DOI

10.1109/ICPEC.2013.6527713

Filename

6527713