DocumentCode
3479157
Title
The Applications of Wavelet Multi-Resolution Algorithm in Harmonic Current Detection of Electric Arc Furnace Short Net
Author
Lu, Xiuhe ; Li, Xiuqi
Author_Institution
Sch. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
5
Abstract
The arc furnace is an important load which affects the electrical energy quality of the electrical power system. High harmonic current and low power factor are in 20T arc furnace short net. Here we proposed a Mallat algorithm based on multi-resolution analysis of wavelet transform separating the fundamental current and harmonic current, to detect harmonic current in the short net current. Results from the electrical system simulation model of electric arc furnace suggests a relatively higher detection accuracy than common methods.
Keywords
arc furnaces; power factor; power supply quality; power system harmonics; wavelet transforms; Mallat algorithm; electric arc furnace short net; electrical energy quality; electrical power system; harmonic current detection; power factor; wavelet multiresolution algorithm; wavelet transform; Furnaces; Harmonic analysis; Power harmonic filters; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5661007
Filename
5661007
Link To Document