Computation of Voltage Sag Initiation with Fourier based Algorithm, Kalman Filter and Wavelets
Amaris, H (Carlos III University of Madrid. Madrid. Spain) ; Alvarez, A (Carlos III University of Madrid. Madrid. Spain) ; Florez, D (Carlos III University of Madrid. Madrid. Spain) ; Lobos, T (Wroclaw University of Technology, Poland) ; Janik, P (Wroclaw University of Technology, Poland) ; Rezmer, J (Wroclaw University of Technology, Poland) ; Waclawek, Z (Wroclaw University of Technology, Poland)
Abstract: Dynamic Voltage Restorers (DVR) have been successfully applied for voltage dip mitigation in the last years. Especially in systems with nonlinear loads and wind turbine generation DVR units support the Power Quality enhancement. The reliability and quality of DVR operation depends mostly on fast and accurate voltage dip detection. Detection methodologies must be able to detect a voltage dip as fast as possible and be immune to other types of perturbations. In this paper we address the problem of voltage dip estimation using carefully selected advanced signal processing methods such as Fourier based algorithm, Kalman filtering and Wavelets. Additionally, the traditional and common technique of RMS value tracking has been mentioned. The algorithms have been tested under different conditions: voltage dip with phase jump, noise, frequency variations.
Keyword(s): Dynamic Voltage Restorer ; Power Quality ; Kalman Filter ; Fourier Technique ; Voltage Sag ; Wavelets
Note: 2009 IEEE Bucharest Power Tech Conference, July, 2009, Bucharest, Romania
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/332/files/
Cited by: try citation search for ENY-ARTICLE-2009-264
Record created 2009-10-24, last modified 2009-10-27
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