Literature Review of Microcontroller-Based Automatic Power Factor Correction Systems and The Internet of Things
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Internet of Things, Microcontrollers, Power Factor Correction, Reactive Power, Real-Time Monitoring
Abstrak
Faktor daya rendah pada sistem kelistrikan industri maupun rumah tangga menyebabkan pemborosan energi, peningkatan arus beban, dan kerugian finansial akibat denda penyedia listrik. Tinjauan literatur sistematis ini bertujuan menganalisis perkembangan, komponen, metode kontrol, dan capaian performa sistem Automatic Power Factor Correction (APFC) berbasis mikrokontroler dan Internet of Things (IoT) yang dipublikasikan pada periode 2021–2026. Pencarian dilakukan melalui empat basis data ilmiah, yaitu Sage Journal, Scopus, Taylor & Francis, dan IEEE Xplore, menghasilkan 108 artikel awal yang kemudian disaring menggunakan protokol PRISMA hingga diperoleh 10 artikel akhir. Hasil analisis menunjukkan bahwa ESP32 dan NodeMCU merupakan mikrokontroler yang paling umum digunakan, sensor PZEM-004T sebagai alat ukur daya, serta protokol MQTT sebagai medium komunikasi yang efisien untuk pemantauan real-time. Perbaikan faktor daya yang dicapai berkisar antara 0,60–0,99 setelah koreksi diterapkan. Integrasi IoT terbukti meningkatkan kemampuan pemantauan dan kendali jarak jauh secara signifikan
Artikel teks lengkap
Referensi
F. Zheng and W. Zhang, “Long term effect of power factor correction on the industrial load: A case study,” 2017 Australasian Universities Power Engineering Conference, AUPEC 2017, vol. 2017-November, pp. 1–5, Feb. 2018, doi: 10.1109/AUPEC.2017.8282382.
K. H. Akhil, R. Asmita, N. Mishra, and P. V. Manitha, “Machine Learning Assisted Power Factor Correction using Capacitor Banks,” 2024 2nd World Conference on Communication and Computing, WCONF 2024, 2024, doi: 10.1109/WCONF61366.2024.10692176.
G. Chickering, C. Jones, and N. Blaushild, “Development of an Optimal Control Strategy of Three Phase Power Factor Correction System[تطوير اسرتاتيجية التحكم األمثل لنظام تصحيح معامل القدرة ثالثي الطو],” Journal of Data Science, pp. 1–25, Jan. 2026, doi: 10.6339/26-JDS1216.
A. Rodríguez and F. J. Muñoz, “Power factor correction,” Encyclopedia of Electrical and Electronic Power Engineering: Volumes 1-3, vol. 1, pp. 456–471, Jan. 2023, doi: 10.1016/B978-0-12-821204-2.00022-2.
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M. Muthukumaran, S. Ajay, G. Kabilan, S. Sivabalan, and S. Sivasangeeth, “Smart Monitoring and Control Techniques for Power Factor Correction Systems,” Proceedings - 3rd International Conference on Artificial Intelligence and Machine Learning Applications: Healthcare and Internet of Things, AIMLA 2025, 2025, doi: 10.1109/AIMLA63829.2025.11041643.
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P. P. Kulkarni, M. Patil, S. Shibi, M. Patle, and R. Kale, “Review on Online Monitoring of Electrical Machine using IOT,” 2019 International Conference on Nascent Technologies in Engineering, ICNTE 2019 - Proceedings, Jan. 2019, doi: 10.1109/ICNTE44896.2019.8945927.
E. Duraiarasu, M. Arulmozhi, and R. Karthikeyan, “Cloud-based Power Theft Detection with Automatic Notification System,” Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023, pp. 1233–1238, 2023, doi: 10.1109/ICAISS58487.2023.10250528.
I. Surya and J. Kustija, “Dashboard for Industrial Load Control and Remote Power Factor Correction Based on Adafruit’s MQTT,” Buletin Ilmiah Sarjana Teknik Elektro, vol. 5, no. 1, pp. 76–85, Mar. 2023, doi: 10.12928/biste.v5i1.7494.
F. H. Martínez and A. V Rendón, “Power Factor Correction Using An Esp32 Embedded In An Interleaved Boost Converter,” ARPN Journal of Engineering and Applied Sciences, vol. 18, no. 17, pp. 2058–2065, 2023, [Online]. Available: www.arpnjournals.com
M. M. Shubbar, L. A. Abdul-Rahaim, and A. A. Hamad, “Cloud-Based Automated Power Factor Correction and Power Monitoring,” Mathematical Modelling of Engineering Problems, vol. 8, no. 5, pp. 757–762, Oct. 2021, doi: 10.18280/mmep.080510.
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A. J. Sonawane and A. C. Umarikar, “Voltage and Reactive Power Regulation With Synchronverter-Based Control of PV-STATCOM,” IEEE Access, vol. 11, pp. 52129–52140, 2023, doi: 10.1109/ACCESS.2023.3276787.
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Penulis
Hak Cipta (c) 2026 Gugut Hedi Afandi, Aji Brahma Nugroho, Iswahyudi
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