Implementasi Metode Fast Fourier Transform pada Sistem Monitoring Voltage Flicker
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Published
May 3, 2021
Abstract
West Sumatra is recorded to have an electrification ratio of 92.96%. Every year this figure will continue to increase, with the increase in the electrification ratio in West Sumatra, the quality of the required electric power will increase. Meanwhile, an increase in the electrification ratio will cause a decrease in the quality of electric power. The power quality of the electric power system is affected by disturbances. In other words, some disturbances occur in the electric power system which causes a decrease in power quality. The disturbance is in the form of external factors and internal factors. External factors include lightning, fallen trees, and others, while internal factors include short interruptions, voltage swells, voltage and current transients, and voltage flicker. Of these disturbances, the discussion will be focused on voltage flicker disturbances. Voltage flickers have several pathways, including causing malfunctions in the protective relay, and voltage surges that can cause bright and dim flickering of lighting lamps. The purpose of this final project is to create a tool to detect the presence of Voltage Flicker using the fast Fourier transform method so that it can observe the flicker that occurs with fast Fourier transform waves in Matlab applications.
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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. 136-146. doi: 10.38035/rrj.v3i3.385.
References
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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.
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.