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

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4 Author(s)
Caujolle, M. ; Electricite de France, Clamart, France ; Petit, M. ; Fleury, G. ; Berthet, L.

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.

Published in:

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

Date of Conference:

26-29 Sept. 2010