Title :
Filtering out spikes from sensors in power converters system using discrete wavelet transform
Author :
Mohammad, Hassan ; Diduch, C.P. ; Biletskiy, Yevgen ; Liuchen Chang
Author_Institution :
Univ. of New Brunswick, Fredericton, NB, Canada
fDate :
April 29 2012-May 2 2012
Abstract :
Power converters are widely used to control the power energy generated by distributed generators in power grids. The operation of power converters involves monitoring and adjustment of voltage and current by power devices, which are switching rapidly. The rapid switching causes spikes that can result in the false detection of voltage faults. This present paper describes a method to detect and remove spikes from power converter sensors that allows power converter to be not affected. The methodology behind the present work is the use of discrete wavelet transform enabling spike detection and removal.
Keywords :
discrete wavelet transforms; distributed power generation; fault diagnosis; power control; power convertors; power grids; sensors; discrete wavelet transform; distributed generators; false detection; power converter sensors; power converters system; power devices; power energy control; power grids; spike detection; spike removal; spikes filtering; voltage faults; Current measurement; Discrete wavelet transforms; Field programmable gate arrays; Filter banks; Finite impulse response filter; Sensors; Discrete Wavelet Transform; FPGA; Fault Detection; Filters; Power Converter; Spike;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6334968