A new approach to monitoring electric power quality

被引:24
作者
Dash, PK [1 ]
Panda, SK [1 ]
Liew, AC [1 ]
Mishra, B [1 ]
Jena, RK [1 ]
机构
[1] Natl Univ Singapore, Dept Elect Engn, Singapore 117548, Singapore
关键词
neural network; electric power quality; harmonic distortions;
D O I
10.1016/S0378-7796(98)00015-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper presents an adaptive neural network approach for the estimation of harmonic distortions and power quality in power networks. The neural estimator is based on the use of linear adaptive neural elements called adalines The learning parameter of the proposed algorithm is suitably adjusted to provide fast convergence and noise rejection for tracking distorted signals in the power networks. Several numerical tests have been conducted for the adaptive estimation of harmonic components, total harmonic distortions, power quality of simulated waveforms in power networks supplying converter loads and switched capacitors. Laboratory test results are also presented in support of the performance of the new algorithm. (C) 1998 Elsevier Science S.A. All rights reserved.
引用
收藏
页码:11 / 20
页数:10
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