Adaptive Wavelet Neural Network Based Harmonic Estimation of Single-Phase Systems

被引：0
|
作者：
Jain, Sachin K. [1 ]
Saxena, D. [2 ]
Singh, S. N. [1 ]
机构：
[1] Indian Inst Technol Kanpur, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
[2] Invertis Univ, Dept Elect & Elect Engn, Bareilly, Uttar Pradesh, India
来源：
2011 INTERNATIONAL CONFERENCE AND UTILITY EXHIBITION ON POWER AND ENERGY SYSTEMS: ISSUES & PROSPECTS FOR ASIA (ICUE) | 2011年
关键词：
Artificial intelligence; AWNN; neural network; nonlinear load; power quality; total harmonic distortion; POWER; INTERHARMONICS;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：7
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