Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54494
Title: A new approach to monitoring electric power quality
Authors: Dash, P.K. 
Panda, S.K. 
Liew, A.C. 
Mishra, B.
Jena, R.K.
Keywords: Electric power quality
Harmonic distortions
Neural network
Issue Date: Jul-1998
Source: Dash, P.K.,Panda, S.K.,Liew, A.C.,Mishra, B.,Jena, R.K. (1998-07). A new approach to monitoring electric power quality. Electric Power Systems Research 46 (1) : 11-20. ScholarBank@NUS Repository.
Abstract: 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. © 1998 Elsevier Science S.A. All rights reserved.
Source Title: Electric Power Systems Research
URI: http://scholarbank.nus.edu.sg/handle/10635/54494
ISSN: 03787796
Appears in Collections:Staff Publications

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