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Harmonic Estimation Algorithm based on ESPRIT and Linear Neural Network in Power System

Harmonic Estimation Algorithm based on ESPRIT and Linear Neural Network in Power System

Journal from gdlhub / 2016-11-11 02:46:25
Oleh : Xiangwen Sun, Ligong Sun, Shuai Zhao, Telkomnika
Dibuat : 2016-09-01, dengan 1 file

Keyword : Harmonic frequency estimation; ESPRIT; neural network.
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/4386

In this paper, the drawbacks of current harmonic frequency estimation algorithm in power system are pointed out. In order to improve the detection accuracy and reduce the computational complexity, a new harmonic estimation algorithm for power system is proposed by combining the ESPRIT algorithm with linear neural network. Theoretic analysis and simulation experiments indicated that the new algorithm has super resolution characteristics, ideally suited for harmonic analysis in power system.

Deskripsi Alternatif :

In this paper, the drawbacks of current harmonic frequency estimation algorithm in power system are pointed out. In order to improve the detection accuracy and reduce the computational complexity, a new harmonic estimation algorithm for power system is proposed by combining the ESPRIT algorithm with linear neural network. Theoretic analysis and simulation experiments indicated that the new algorithm has super resolution characteristics, ideally suited for harmonic analysis in power system.

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ID Publishergdlhub
OrganisasiTelkomnika
Nama KontakHerti Yani, S.Kom
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DaerahJambi
NegaraIndonesia
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