A combined wavelet - Kalman filtering scheme for automatic detection and analysis of voltage dips in power systems

Author

Barros, Julio ; Pérez, Enrique

Author_Institution

Univ. of Cantabria, Santander

fYear

2005

fDate

27-30 June 2005

Firstpage

1

Lastpage

5

Abstract

A combined wavelet analysis - Kalman filtering approach is presented in this paper for the automatic detection and analysis of voltage dips in power systems. Wavelet analysis is used to process the voltage waveform for detection and better estimation of the time-related parameters of a voltage dip in voltage supply, while Kalman filtering is used for the estimation of voltage magnitude and phase angle during the event. The method proposed, which can be processed in real-time, has been tested both by computer simulations and experimentally using measurements from a low voltage distribution system, showing the potential of this combined scheme for complete and accurate characterization of voltage dips in power systems.

Keywords

Kalman filters; power distribution; power supply quality; wavelet transforms; Kalman filtering scheme; computer simulations; low voltage distribution system; phase angle; power systems; voltage dips automatic analysis; voltage dips automatic detection; voltage magnitude; voltage supply; voltage waveform; wavelet analysis; Event detection; Filtering; Kalman filters; Phase detection; Phase estimation; Power system analysis computing; Real time systems; System testing; Voltage fluctuations; Wavelet analysis; Kalman filters; power systems; voltage dips; wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech, 2005 IEEE Russia

Conference_Location

St. Petersburg

Print_ISBN

978-5-93208-034-4

Electronic_ISBN

978-5-93208-034-4

Type

conf

DOI

10.1109/PTC.2005.4524369

Filename

4524369