DocumentCode
3394144
Title
A Precise Location Method of Power Quality Disturbances Based on Morphological Edge Detection
Author
Huang Runhong ; Ouyang Sen ; Shi Yili
Author_Institution
Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
5
Abstract
A precise location method of power quality disturbances was proposed to solve the background gradient problems originated from the periodic changes of power signals and the existing of various interferences in the process of sampling. The proposed method includes the adaptive selection of structuring element (SE) for morphological filter by using signal to noise ratio (SNR) as a standard to assess the filtering effect, Top-Hat transform of morphological gradient (MG) which is introduced to suppress background gradient, and the soft- thresholding quantitative method. The preliminary location results are achieved by Top-Hat transform of morphological gradient and the final location results are determined by the soft-thresholding values. Simulations of a variety of power quality disturbances have been carried out, which shows its enhanced location precision, outstanding anti- jamming ability and universal applicability.
Keywords
edge detection; jamming; power distribution faults; power supply quality; transforms; MG; SE; SNR; Top-Hat transform; adaptive selection; antijamming ability; background gradient problem; morphological edge detection; morphological filter; morphological gradient; power quality disturbance; power signal; precise location method; preliminary location results; signal-to-noise ratio; soft-thresholding quantitative method; structuring element; universal applicability; Image edge detection; Morphology; Power quality; Voltage fluctuations; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307419
Filename
6307419
Link To Document