Please use this identifier to cite or link to this item:
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: Neural network
Harmonic distortions
Electric power systems
Issue Date: 1998
Publisher: Elsevier
Citation: Electric Power Systems Research, Vol 46, Iss 1, P 11-20
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.
Description: Copyright for this article belongs to Elsevier Science Ltd
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
pkd19983.pdf330.35 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.