Harmonic Detection Using Kalman Filter

被引：0

作者：

Desai, Vidit A. ^{[1
]}

Rathore, Sandhya ^{[2
]}

机构：

[1] Vadodara Inst Engn, Dept Elect, Vadodara, Gujarat, India

[2] SCET, Dept Elect, Surat, India

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年

关键词：

Extended Kalman Filter (EKF); Discrete Fourier transform (DFT); Fast Fourier transform (FFT); PWM converter; Harmonic detection; Noise; FREQUENCY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Now a days, because of utilization of highly non-linear load and power electronic devices, harmonics are generated in the power system. These harmonics create stress on electrical devices connected to the power system. These harmonics also cause failure of devicesand/or create disturbances in performance of devices. Hence this sets a requirement of harmonic filters. However, before designing a filter, the process of harmonic analysis is essential. This paper describes the design of an Extended Kalman filter for PWM converter for harmonic detection. Measurement of magnitudes and frequencies of fundamental and harmonic components present in system voltage and current waveformsare detected in this paper. The result of this filter are compared with the results of Fast Fourier transform (FFT) function in MATLAB. Simulation results show that the Extended Kalman filter is more accurate and requires less time for harmonic detection as compared to others.

引用

页码：858 / 863

页数：6

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