Based on PQDIF Data of Harmonic Disturbance Source Orientation

Abstract:

Power quality data interchange format PQDIF is proposed by IEEE. This paper references arc furnace load model based on energy balance relation theory, the distribution network was established based on PSCAD simulation model. By calculating the effective value of harmonic indicators as neural network input samples, we can establish the BP neural network model for training and testing. And then through the established BP neural network model, it can realize the non-linear relation between the harmonic disturbance source and the harmonic indicators, thus the harmonic disturbance source orientation is achieved successfully.

• Periodical: Applied Mechanics and Materials (Volumes 336-338)
• Pages: 1545-1549
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.336-338.1545
• Online since: July 2013
• Authors: Xiu Fang Jia, Kai She, Shen Mao Huang, Chang Bin Xu
• Keywords: BP Neural Network (BPNN), Harmonic Disturbance Source, Power Quality (PQ), PQDIF

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