Implementasi Fast Fourier Transform dalam Pengembangan Alat dan Bantuan Program Untuk Mengukur Total Harmonic Distortion

##plugins.themes.bootstrap3.article.sidebar##

pdf (Bahasa Indonesia)
Published Apr 23, 2019
DOI : https://doi.org/10.32664/smatika.v9i01.238
  • Halaman : 15 - 22
  • Abstract views : 325
  • PDF views : 579

##plugins.themes.bootstrap3.article.main##

setya - ardhi
Sekolah Tinggi Teknik Surabaya
Judi Prajetno Sugiono
Sekolah Tinggi Teknik Surabaya
Hari Sutikno
Sekolah Tinggi Teknik Surabaya
Ivan B. Sasaka

Abstract

Total Harmonic Distortion (THD) is one parameter that states the quality of an electrical signal that is to be used compared to pure sinusoidal signals. THD is a measure that states how much the signal is no longer shaped like the original. With Fourier Analysis, the THD magnitude is expressed as a comparison of the geometric mean of the root number of the harmonic square of the frequency fundamental.This study aims to build a THD measuring device using the AVR microcontroller to digitally calculate THD. Calculation of signal harmonics in Fourier series is not done in the traditional way, but is done using the Fast Fourier Transform (FFT) algorithm. This algorithm in numerical computation will provide a better calculated speed compared to traditional calculations. The measuring device is test using several forms of signals, then the results will be compared with results calculated on a computer. The results of the trial show that this method can provide accuracy in measuring the THD size of a signal properly.

##plugins.themes.bootstrap3.article.details##

Issue
Vol 9 No 01 (2019): SMATIKA Jurnal : STIKI Informatika Jurnal
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The writer agreed that the article copyright by Smatika journal and the writer has the right to disseminate the paper published without permission in advance.

References
[1] Lathi, B.P., Linear Systems and Signals 2nd ed., Oxford University Press, 2005
[2] Roberts, M.J., Signals and Systems 2nd ed., McGraw Hill, 2012
[3] Hwei P. Hsu, Schaum’s Outlines of Theory and Problems of Signals and Systems, McGraw Hill, 1995
[4] Alexander, Charles K. & Matthew N. O. Sadiku Fundamentals of Electric Circuits 5th Ed., McGraw Hill, 2013
[5] Brigham, E. Oran, The Fast Fourier Transform & its Application, Prentice Hall Inc., 1988
[6] Rao & Kim & Hwang, Fast Fourier Transform Algorithm and Applications, Springer 2010
[7] S. Nath, P. Sinha, S. K. Goswami, “A Wavelet Based Novel Method for the Detection of Harmonic Sources in Power Systems”, Electrical Power and Energy Systems, 2011
[8] D. Srinivasan, W. S. Ng, A.C. Liew, “NeuralNetwork-Based Signature Recognition for Harmonic Source Identification”, IEEE Trans. Power Del. Vol. 21, No. 1, Jan. 2006
[9] G. T. Heydt, “Identification of harmonic sources by a state estimation technique,” IEEE Trans. Power Del. vol. 4, no. 1, pp. 569-576, jan. 1989.
[10] “IEEE Recommended Practices and Requirement for Harmonic Control in Electrical Power Systems” IEEE std. 519-1992.
[11] S. Nath, P. Sinha, S. K. Goswami, “A Wavelet Based Novel Method for the Detection of Harmonic Sources in Power Systems”, Electrical Power and Energy Systems, 2012
[12] H.Qian, R. Zhao, T. Chen, “Interhamonics Analysis Based on Interpolating Windowed FFT Algorithm” IEEE Trans. Power Del, Vol. 22, no. 2, Apr. 2007.