DocumentCode :
1923300
Title :
Prediction of line current harmonics in an AC-DC converter using neural networks
Author :
Anani, Nader ; Benchebra, Dalil ; Ponnapalli, Prasad ; Natsheh, Abdel-Razzak
Author_Institution :
Dept. of Eng. & Technol., Manchester Metropolitan Univ., Manchester, UK
fYear :
2010
fDate :
3-5 Oct. 2010
Firstpage :
66
Lastpage :
69
Abstract :
A circuit topology for an AC-DC single-phase single-stage half-controlled converter with reduced line current harmonics is presented. It is shown that these harmonics are reduced below limits imposed by relevant international standards governing the generation and injection of harmonics into the distribution systems by equipment which draws current less than 16 A. The paper also demonstrates the use of a feedforward neural network (NN) for the prediction of the line current harmonics. The neural network predicted results compared favorably with the simulation results and hence were also within the limits of the harmonic regulations.
Keywords :
AC-DC power convertors; feedforward neural nets; power engineering computing; power system harmonics; AC-DC converter; AC-DC single phase single stage half controlled converter; feedforward neural network; line current harmonic prediction; AC-DC power converters; Artificial neural networks; Harmonic analysis; Power generation; Power harmonic filters; AC-DC converter; IEC-harmonic standards; line-current harmonics; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
Conference_Location :
Penang
Print_ISBN :
978-1-4244-7645-9
Type :
conf
DOI :
10.1109/ISIEA.2010.5679493
Filename :
5679493
Link To Document :
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