Implementasi Metode Fast Fourier Transform pada Sistem Monitoring Voltage Flicker

Main Article Content

Rani Kurnia
Riki Mukhaiyar

Abstract

Sumatera Barat tercatat memiliki rasio elektrifikasi sebesar 92,96%. Setiap tahun angka ini akan terus meningkat, dengan meningkatnya rasio elektrifikasi di Sumatera Barat maka kualitas daya listrik yang diperlukan semakin meningkat. Sedangkan dengan meningkatnya rasio elektrifikasi maka akan menyebabkan kualitas daya listrik menurun. Kualitas daya sistem tenaga listrik dipengaruhi oleh adanya gangguan - gangguan. Dengan kata lain adanya gangguan yang terjadi pada sistem tenaga listrik yang menyebabkan kualitas daya menurun. Gangguan tersebut berupa faktor eksternal dan faktor internal. Faktor eksternal berupa petir, pohon tumbang dan lain - lain sedangkan faktor internal berupa short interuption, voltage swells, voltage and current transients, voltage flicker. Dari gangguan – gangguan tersebut pembahasan akan difokuskan pada gangguan voltage flicker. Voltage flicker memiliki beberapa dampak diantaranya menyebabkan malfungsi pada relay proteksi, fluktuasi tegangan yang dapat menyebabkan kedipan terang dan redup pada lampu penerangan. Tujuan tugas akhir ini membuat sebuah alat untuk mendeteksi adanya Voltage Flicker dengan menggunakan metode fast fourier transform, sehingga bisa mengamati flicker yang terjadi dengan gelombang fast fourier transform pada aplikasi matlab.

Downloads

Download data is not yet available.

Article Details

How to Cite
Kurnia, R. and Mukhaiyar, R. (2021) “Implementasi Metode Fast Fourier Transform pada Sistem Monitoring Voltage Flicker”, Ranah Research : Journal of Multidisciplinary Research and Development, 3(3), pp. 16-26. doi: 10.31933/rrj.v3i3.385.
Section
Science, Technology, Engineering and Mathematics (STEM)

References

A.R. Marjan, R. Mukhaiyar. (2020). Perancangan Konveyor Pengangkut Buah Semangka Berdasarkan Berat Berbasis Microkontroller. Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 1, pp. 219-225, 2020.
Caldara, S., Nuccio, S., & Spataro, C. (1998). A virtual instrument for measurement of flicker. IEEE Transactions on instrumentation and measurement, 47(5), 1155-1158.
Chen, M. T., & Meliopoulos, A. S. (2000, October). Wavelet-based algorithm for voltage flicker analysis. In Ninth International Conference on Harmonics and Quality of Power. Proceedings (Cat. No. 00EX441) (Vol. 2, pp. 732-738). IEEE.
D. Ika. (2009). Alat Otomatisasi Pengukur Kadar Vitamin C Dengan Metode Titrasi Asam Basa. J. Neutrino J. Fis. dan Apl., 2009.
D. Kho. (2019). Pengertian LCD (Liquid Crystal Display) dan Prinsip Kerja LCD. Retrieved fromhttps://teknikelektronika. com/pengertian-lcd-liquid-crystal …, 2019.
D.A. Putra, R. Mukhaiyar. (2020) Monitoring Daya Listrik Secara Real Time. VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp.26-34.
D.E. Myori, R. Mukhaiyar, E. Fitri. (2019) “Sistem Tracking Cahaya Matahari pada Photovoltaic”, INVOTEK: Jurnal Inovasi Vokasional dan Teknologi, vol. 19, iss. 1, pp. 9-16.
F. Djuandi. (2011). Pengenalan Arduino. E-book. www. tobuku, pp. 1–24.
Girgis, A. A., Stephens, J. W., & Makram, E. B. (1995). Measurement and prediction of voltage flicker magnitude and frequency. IEEE Transactions on Power Delivery, 10(3), 1600-1605.
H. Aulia, R. Mukhaiyar. (2017). A New Design of Handless Stirred Device. Proceeding 4th International Conference on Technical and Vocational Education and Training (TVET), pp. 579-582.
H. Temongmere and B. Marsudi. (2018). Rancang Bangun Prototipe Alat Pendeteksi Formalin Pada Makanan Berbasis Arduino. Sekolah Tinggi Teknik PLN.
Huang, S. J., & Lu, C. W. (2004). Enhancement of digital equivalent voltage flicker measurement via continuous wavelet transform. IEEE Transactions on Power Delivery, 19(2), 663-670.
I. Dinata and W. Sunanda. (2015). Implementasi Wireless Monitoring Energi Listrik Berbasis Web Database. J. Nas. Tek. Elektro, vol. 4, no. 1, pp. 83–88.
M.S. Yoski, R. Mukhaiyar. (2020). Prototipe Robot Pembersih Lantai Berbasis Mikrokontroller dengan Sensor Ultrasonik. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 158-161.
M. Syukri, R. Mukhaiyar. (2021). Alat Pendeteksi Formalin Pada Makanan Menggunakan IoT”, Ranah Research: Journal of Multidisciplinary Research and Development, vol. 3, iss. 2, pp. 56-64.
Morcos, M. M., & Gomez, J. C. (2002). Flicker sources and mitigation. IEEE Power Engineering Review, 22(11), 5-10.
Nuccio, S. (1997, May). A digital instrument for measurement of voltage flicker. In IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings (Vol. 1, pp. 281-284). IEEE.
R.C.J. Wydmann, R. Mukhaiyar. (2020). Augmented Reality dalam Penggunaan Alat Rumah Tanggal Berbasis Internet of Things. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp.84-91.
R.F. Ramadhan, R. Mukhaiyar. (2020). Penggunaan Database Mysql dengan Interface PhpMyAdmin sebagai Pengontrolan Smarthome Berbasis Raspberry Pi. JTEIN: Jurnal Teknik Elektro Indonesia, vol. 1, no. 2, pp. 129-134.
R. Mukhaiyar. (2017). Digital Image dan Remote Sensing Image as a Data for an Identification of a Quality of a Non-Point Source Pollutant in Ciliwung River, Indonesia. International Journal of GEOMATE, vol. 12, iss. 32, pp. 142-151.
R. Mukhaiyar. (2010). Klasifikasi Penggunaan Lahan dari Data Remote Sensing. Jurnal Teknologi Informasi dan Pendidikan, vol. 2, iss. 1, pp. 1-16.
R. Mukhaiyar. (2015). Cancellable Biometric using Matrix Approaches. Theses in Newcastle Univesity, UK.
R. Mukhaiyar. (2017). The Comparation of Back Propagation Method and Kohon Method for Gas Identification. International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103.
R. Mukhaiyar. (2019). Geographic Information System and Image Classification of Remote Sensing Synergy for Land-Use Identification. International Journal of GEOMATE, vol. 16, iss. 53, pp. 245-251.
R. Mukhaiyar. (2011). Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image. International Journal of Computer, Electrical, Automation Control, and Information Engineering, World Academy of Science, Engineering, and Technology, vol. 5, iss. 7, pp. 753-758.
R. Mukhaiyar. (2017). Core-Point, Ridge-Frequency, and Ridge-Orientation Density Roles in Selecting Region of Interest of Fingerprint. International Journal of GEOMATE, vol. 12, iss. 30, pp. 146-150.
R. Mukhaiyar. (2017). Analysis of Galton-Henry Classification Method for Fingerprint Database FVC 2002 and 2004. International Journal of GEOMATE, vol. 12, iss. 40, pp. 118-123.
R. Mukhaiyar. (2017). The Comparation of Back Propagation Method and Kohon Method for Gas Identification. International Journal of GEOMATE, vol. 13, iss. 38, pp. 97-103.
R. Mukhaiyar, R. Safitri. (2019). Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System. Proceedings 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar, Syawaludin. (2019). Security System Design on Feature Information of Biometric Fingeprint using Kronecker Product Operation and Elementary Row Operation. Proceedings of 2019 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, November 14, 2019.
R. Mukhaiyar. (2018). Generating a Cancellable Fingerprint using Matrices Operations and Its Fingerprint Processing Requirements”, Asian Social Sciences, vol. 14, no. 6, pp. 1-20.
R. Mukhaiyar, S.S. Dlay, W.L. Woo. (2014). Alternative Approach in Generating Cancellable Fingerprint by Using Matrices Operations”, Proceeding of ELMAR-2014, pp. 1-4.
S.M. Liusmar, R. Mukhaiyar. (2020). Perancangan Sistem Otomasi Penggunaan Barcode Scanner Pada Trolley Berbasis Arduino Mega 2560", VoteTEKNIKA: Jurnal Vocational Teknik Elektronika dan Informatika, vol. 8, no. 2, pp. 43-49.