Publication Type : Conference Paper
Publisher : 2013 IEEE Conference on Information and Communication Technologies, ICT 2013
Source : 2013 IEEE Conference on Information and Communication Technologies, ICT 2013, Thuckalay, Tamil Nadu, p.42-46 (2013)
ISBN : 9781467357586
Keywords : Comb filters, Embedded platforms, Fast Fourier transforms, FIR filters, Harmonic analysis, harmonics, High sampling frequencies, Information technology, Maximum absolute error, Mean square error, Potential solutions, Power system networks, Sampling frequencies, Smart grid systems
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Verified : Yes
Year : 2013
Abstract : Harmonics are a major source of pollution in power system networks. These harmonic current and voltage are to be estimated with great accuracy. Several methods exist for the estimation of harmonic voltage magnitude like FFT, FIR filters etc. But these methods have a common drawback of requiring high sampling frequency and difficulty in making them adaptive. Adaptive Comb filter is a potential solution to these problems. It is a cascade filter requiring a comparatively low sampling frequency and gives a comparatively more accurate result. In this paper, simulation results for various sampling frequencies of Adaptive Comb filter are presented. The results are compared with other methods like FFT and FIR filter using figure of merit like maximum absolute error (MAE) and mean square error (MSE). The amplitude computation scheme is proposed to be implemented on a suitable embedded platform. © 2013 IEEE.
Cite this Research Publication : B. Emayavaramban, R. Thiyagaraj, B. Vivek, Y.S. Kishan, and Supriya P., “Amplitude computation of harmonic voltages based on Adaptive Comb filter in a smart grid system”, in 2013 IEEE Conference on Information and Communication Technologies, ICT 2013, Thuckalay, Tamil Nadu, 2013, pp. 42-46.