Identification of Voltage Disturbances Based on Phase Space Reconstruction and BP Neural Network

Zi Teng Hu; Li Min Jia; De Chen Yao

doi:10.4028/www.scientific.net/AMM.303-306.966

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Identification of Voltage Disturbances Based on...

Identification of Voltage Disturbances Based on Phase Space Reconstruction and BP Neural Network

Abstract:

A identification method via phase space reconstruction and BP neural network was proposed for identifying three types of voltage disturbances (voltage swells, voltage sag, voltage flicker). In this method, firstly, phase space reconstruction was utilized for describing voltage disturbances; secondly, the mean radius of each cycle of phase space trajectory in accordance with the time-domain was extracted from voltage signals; finally, the identification of voltage disturbances was obtained by BP neural network. The simulation results in Matlab show that the proposed method is capable of high accuracy to identify three types of voltage disturbances, and further validates the efficiency of phase space theory in power quality analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

966-969

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.966

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Online since:

February 2013

Authors:

Zi Teng Hu, Li Min Jia, De Chen Yao

Keywords:

BP Neural Network (BPNN), Identification, Phase Space Reconstruction, Voltage Disturbances

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