Penerapan Sensor PZEM-004T Untuk Monitoring Tegangan Fluktuasi 1 Fasa dengan Menggunakan Metode Fast Fourier Transform (FFT)
DOI:
https://doi.org/10.35143/elementer.v10i2.6215Abstract
Based on PLN standards regulated in Minister of Energy and Mineral Resources Regulation No. 20 of 2020, changes in voltage on the network must be maintained within the voltage variation range of ±5% (Normal Voltage). Voltage is the change in voltage variations in a short time. Where the voltage change exceeds or below the standard voltage variation range, namely ±5% of the normal voltage. Based on IEEE Standard 1159-1995, the sag voltage is in the range of 10% -90% of the nominal voltage which lasts for 0.5 cycles. The voltage wave is in the range of 120% of the nominal voltage. Changes in voltage variations are caused by many factors such as large motor starting currents, uncontrolled load changes and short circuit current disturbances in the electric power system. The importance of maintaining voltage is a necessity because it is related to the reliability of an electric power system. For this reason, this research proposes "Application of the Fast Fourier Transform Method to Monitor Voltage Fluctuations" as a solution to power quality problems. To make it easier to process voltage (sinusoidal), the Fast Fourier Transform (FFT) method is needed. The FFT method algorithm is needed to convert the time domain into the frequency domain, so that it can simplify the monitoring system process. This research was implemented the FFT method for monitoring voltage fluctuations in no-load and load conditions. From the results, it can be concluded that inductive loads can affect voltage quality. This was proven when carrying out tests under load, from the results of the analysis there was a decrease in voltage (voltage SAG) of 10% (Vrms = 209.5 V; time duration 0.1436 s) and an increase in voltage (voltage swell) of 20.6% ( Vrms = 278.75 V; time duration 0.228 – 0.428 s).Downloads
Published
Issue
Section
License
Copyright (c) 2024 Imam Suri Tauladan, Hendri Novia Syamsir, Arif Gunawan

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

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



