Inrush Current Based on Fast Fourier Transform
DOI:
https://doi.org/10.31963/intek.v8i2.2940Keywords:
Inrush Current, Harmonic Analysis, FFT, THDAbstract
Advances in technology have caused the use of electricity to increase rapidly. With advances in technology, this is followed by the use of increasingly efficient electrical components or equipment. This more efficient electrical equipment causes the impedance of the component to be smaller, causing a surge in current when it is turned on. This current surge, if not followed by appropriate safety precautions, will be damage other components. Each load has different waveform characteristics and current transient peaks. For this reason, it is necessary to analyze the transient condition of a load to overcome this. This paper will explain the characteristics of the inrush current of the load due to ignition. There are three loads used in this study, namely resistive, capacitive and inductive loads. Then the use of this load is simulated by giving different ignition angle values, namely 0, 60, and 90 degrees. The analysis used is the Fast Fourier Transform (FFT) method which is a derivative of the Discrete Fourier Transform. The inrush current spectrum in this simulation is simulated using Simulink MATLAB with switching system modeling using TRIAC. This inrush current simulation data collection uses a sampling frequency of 100 Khz and will be analyzed in the first of 5 cycles. For each load in this paper, the harmonic values for each ignition angle will be presented. The simulation results show that the inrush current is caused by the ignition angle value used and because of components that can deviate energy such as inductors and capacitors as well as components which at the time of starting have a low impedance value such as incandescent lamps. The simulation also shows that the use of switching components for setting the ignition angle causes an increase in the value of Total Harmonic Distortion (THD) but the peak current in the first cycle when the ignition angle is set decreases.References
H. H. Chang, C. L. Lin, and J. K. Lee, “Load identification in nonintrusive load monitoring using steady-state and turn-on transient energy algorithms,†Proc. 2010 14th Int. Conf. Comput. Support. Coop. Work Des. CSCWD 2010, pp. 27–32, 2010, doi: 10.1109/CSCWD.2010.5472008.
J. Ma, Z. Wang, Q. Yang, and Y. Liu, “A two terminal network-based method for discrimination between internal faults and inrush currents,†IEEE Trans. Power Deliv., vol. 25, no. 3, pp. 1599–1605, 2010, doi: 10.1109/TPWRD.2009.2036262.
V. Rathore and S. K. Jain, “Non Intrusive Load Monitoring and Load Disaggregation using Transient Data Analysis,†2018 Conf. Inf. Commun. Technol. CICT 2018, pp. 1–5, 2018, doi: 10.1109/INFOCOMTECH.2018.8722382.
C. Yang et al., “Starting current analysis in medium voltage induction motors: Detecting rotor faults and reactor starting defects,†IEEE Ind. Appl. Mag., vol. 25, no. 6, pp. 69–79, 2019, doi: 10.1109/MIAS.2019.2923105.
Y. A. Mobarak and M. M. Hussein, “Voltage instability and voltage collapse as influenced by cold inrush current,†ICGST Int. J. Autom. Control Syst. Eng., vol. 12, no. 1, pp. 21–30, 2012.
M. Nait-meziane, P. Ravier, K. Abed-meraim, G. Lamarque, J. Le, and Y. Raingeaud, “Electrical transient modeling for appliance characterization,†2019.
J. H. Harlow, Electric power transformer engineering : electric power engineering handbook, 2nd ed. California: CRC Press, 2007.
S. J. Champan, Electric Machinery Fundamental : Fourth Edition, 4th ed. New York: McGraw-Hill Education, 2005.
R. E. Fehr, Industrial power distribution, Second. New Jersey: IEEE PRESS, 2016.
G. Olivier, I. Mougharbel, and G. Dobson-Mack, “Minimal Transient Switching Of Capacitors,†IEEE Trans. Power Deliv., vol. 8, no. 4, pp. 1988–1994, 1993, doi: 10.1109/61.248312.
D. F. Peelo, “Capacitive Load Switching,†Curr. Interruption Transients Calc., pp. 147–174, 2020, doi: 10.1002/9781119547273.ch7.
