Reliable power disturbance detection using wavelet decomposition or harmonic model based Kalman filtering

Author

Caujolle, M. ; Petit, M. ; Fleury, G. ; Berthet, L.

Author_Institution

Electricite de France, Clamart, France

fYear

2010

fDate

26-29 Sept. 2010

Firstpage

1

Lastpage

6

Abstract

This paper proposes a method for detecting Power Quality (PQ) disturbances measured on distribution networks. The detection efficiencies of two types of detection vectors are compared: the estimation error returned by a Kalman Filter (KF) based on a harmonic model and the detail coefficients given by a Multi-Resolution Analysis (MRA). The detection capabilities of different state-models and wavelet families are tested on waveform recordings of PQ disturbances including faults, transformer energizing, capacitor bank switching or ripple control.

Keywords

Kalman filters; harmonic analysis; power distribution reliability; power supply quality; power system harmonics; waveform analysis; Kalman filtering; PQ disturbance; capacitor bank switching; distribution networks; estimation error; harmonic model; multiresolution analysis; power quality disturbance; reliable power disturbance detection; wavelet decomposition; Computational modeling; Harmonic analysis; Kalman filters; Multiresolution analysis; Noise; Power harmonic filters; Steady-state; Detection; Kalman Filter; Monitoring; Multi-Resolution Analysis; Power Disturbances; Power Quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Harmonics and Quality of Power (ICHQP), 2010 14th International Conference on

Conference_Location

Bergamo

Print_ISBN

978-1-4244-7244-4

Electronic_ISBN

978-1-4244-7245-1

Type

conf

DOI

10.1109/ICHQP.2010.5625309

Filename

5625309