Harmonic Detetion Algorithm Based on Identification and Simulation

Abstract:

A new harmonic detection algorithm is proposed in this paper. According to characteristics of the electric power harmonic, identified harmonic model is obtained based on Fourier series, and introduced a bounded disturbance in the model. When the parameter in the model is identified, firstly the interference value is estimated by the output error, and then the identification error is estimated and used it to update parameters of the model. By using the interference estimation and identification error estimation, the parameters convergence speed is accelerated and the identification accuracy is improved, numerical examples simulation verify this.

• Periodical: Applied Mechanics and Materials (Volume 340)
• Pages: 466-470
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.340.466
• Online since: July 2013
• Authors: Yun Jian Wang, Bei Bei Xie, Pei Liang Wang
• Keywords: Electric Power Harmonic, Harmonic Detection, Parameter Identification

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