DocumentCode :
1942965
Title :
Adaptive wavelet neural network based harmonic estimation of single-phase systems
Author :
Jain, S.K. ; Saxena, D. ; Singh, S.N.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
fYear :
2011
fDate :
28-30 Sept. 2011
Firstpage :
1
Lastpage :
7
Abstract :
Single phase systems, although, form only limited part of the total power system, harmonic pollution due to increasing proportion of power electronic based single phase nonlinear loads cannot be overlooked. Harmonic pollution introduces many operational and control related problems like increased losses, resonance, interference, protection failure, zero-crossing detection, control circuit mal-operations, etc. A novel method based on adaptive wavelet neural network (AWNN) for harmonics estimation is single-phase systems is presented in this paper. Simulation results show that proposed method gives estimation accuracy within the limits defined in IEEE 519-1992 and IEC 61000-4-7.
Keywords :
harmonic distortion; neural nets; pollution; power engineering computing; power supply quality; wavelet transforms; AWNN; IEEE 519-1992; adaptive wavelet neural network-based harmonic estimation; control related problems; harmonic pollution; harmonics estimation; lEe 61000-4-7; operational problems; power electronic-based single phase nonlinear loads; single-phase systems; total power system; AWNN; Artificial intelligence; neural network; nonlinear load; power quality; total harmonic distortion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Utility Exhibition on Power and Energy Systems: Issues & Prospects for Asia (ICUE), 2011 International Conference and
Conference_Location :
Pattaya City
Print_ISBN :
978-1-4673-6006-7
Type :
conf
DOI :
10.1109/ICUEPES.2011.6497764
Filename :
6497764
Link To Document :
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