IoT-Based Solar Power Plant Parameter Monitoring System

Authors

  • Azwa Soleha Department of Engineering, Politeknik Negeri Bengkalis, Jl. Bathin Alam, Sungai Alam, Bengkalis District, Bengkalis Regency, Riau, Indonesia
  • Jefri Lianda Department of Engineering, Politeknik Negeri Bengkalis, Jl. Bathin Alam, Sungai Alam, Bengkalis District, Bengkalis Regency, Riau, Indonesia
  • Adam Department of Engineering, Politeknik Negeri Bengkalis, Jl. Bathin Alam, Sungai Alam, Bengkalis District, Bengkalis Regency, Riau, Indonesia

DOI:

https://doi.org/10.51601/ijse.v6i2.612

Abstract

The utilization of Solar Power Plants (plts) as a renewable energy source continues to increase in line with the growing demand for environmentally friendly energy. However, the performance of an SPP is highly influenced by environmental conditions and variations in its electrical parameters. Therefore, a monitoring system capable of providing real-time information and remote access is required. This study aims to design and implement an Internet of Things (IoT)-Based Solar Power Plant Parameter Monitoring System to monitor key parameters such as voltage, current, power, and solar panel temperature. The system uses an ESP32 microcontroller as the main processing unit connected to various measurement sensors. The collected data are transmitted through the internet to a monitoring platform, allowing users to observe the condition of the solar power plant in real time using mobile devices or computers. System testing was conducted to evaluate sensor reading performance, data communication stability, and overall monitoring system functionality. Data collection was carried out from a Solar Power Plant (SPP) between 09:00 AM and 03:00 PM. The results showed that the system was able to monitor and transmit solar power plant parameters in real time with good accuracy and reliability. The implementation of IoT technology in this monitoring system is expected to improve maintenance efficiency, reduce the risk of system failures, and support the optimization of solar power plant performance in generating electrical energy.

Downloads

Download data is not yet available.

References

[1] Waluyo, B. D., Sembiring, M. A. R., Sinaga, N., Lubis, A. A., & Tarigan, S. V. B. (2024). Sistem Monitoring PLTS Berbasis IoT Sebagai Media Pembelajaran. Jurnal Teknologi Informasi & Komunikasi Dalam Pendidikan, 11(1).DOI: 10.24114/jtikp.v11i1.60282.

[2] Wijayanto, D., Haryudo, S. I., Wrahatnolo, T., & Nurhayati. (2022). Rancang Bangun Monitoring Arus dan Tegangan pada PLTS Sistem On-Grid Berbasis Internet of Things (IoT) Menggunakan Aplikasi Telegram. Jurnal Teknik Elektro, 11(3), 447–453. DOI: 10.26740/jte.v11n3.p447-453.

[3] Kurniawan, N., Darman, M. Y., Adriani, & Zainuddin. (2025). Sistem Monitoring Switching PLTS dan Solar Tracker Dual Axis Berbasis IoT. Vertex Elektro, 17(2). DOI: 10.26618/jte.v17i2.17579.

[4] Risnauli, R., Kalsum, T. U., & Mardiana, Y. (2025). Rancang Bangun Sistem Monitoring Konsumsi Energi Listrik pada PLTS Berbasis IoT. SKANIKA: Sistem Komputer dan Teknik Informatika, 9(1). DOI: 10.36080/skanika.v9i1.3657.

[5] Zulkhairi, Z., Pristisahida, A. O., Mardhiyyah, R., Prasaja, B. K., Fakhrurrozi, A., Amiyanto, T. S., & Machfud, A. A. (2025). Rancang Bangun Sistem Pemantauan Baterai PLTS Berbasis IoT pada Lahan Pertanian. Jurnal Riset Rekayasa Elektro, 7(2). DOI: 10.30595/jrre.v7i2.24681.

[6] Sari, L. O., Saputra, M. F. E., & Safrianti, E. (2024). Sistem Monitoring Arus Listrik Berbasis Internet of Things (IoT) pada Solar Panel di Laboratorium PLTS UIN Suska Riau. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 4(1). DOI: 10.57152/malcom.v4i1.1033.

[7] Abduh, S. R., Lisapaly, L., & Pangaribuan, T. (2024). Disain dan Implementasi Sensor Monitoring Jarak Jauh Berbasis IoT Terhadap Kinerja Panel Surya. Journal of Renewable Energy, Electrical Engineering, and Artificial Intelligence (JREEEAI), 1(1), 19–26.

[8] Madjowa, T. S., Ilham, J., Hidayat, I., Abdussamad, S., Tansa, S., & Nasibu, I. Z. (2025). Solar Power Plant (PLTS) Power Monitoring System Based on the Internet of Things (IoT) Using the Blynk and Telegram Platforms. Emitor: Jurnal Teknik Elektro. DOI: 10.23917/emitor.v26i1.14225.

[9] Saleem, Y., Crespi, N., Rehmani, M. H., & Copeland, R. (2017). Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions. Future Generation Computer Systems.

[10] Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future Generation Computer Systems, 29(7), 1645–1660.

[11] Boubakr, G., Gu, F., Farhan, L., & Ball, A. (2022). Enhancing virtual real-time monitoring of photovoltaic power systems based on the Internet of Things. Electronics, 11(15), 2469. https://doi.org/10.3390/electronics11152469

[12] Dos Santos, T. A., Freitas, F. G. de, Gonçalves, D. L. C., & Fernández-Ramírez, L. M. (2022). Design and validation of IoT measurement system for photovoltaic generation. Ingenius, 28, 38–49. https://doi.org/10.17163/ings.n28.2022.04

[13] Rao, C. K., Sahoo, S. K., & Yanine, F. F. (2024). A literature review on an IoT-based intelligent smart energy management systems for PV power generation. Hybrid Advances, 5, 100136. https://doi.org/10.1016/j.hybadv.2023.100136

[14] Ratnasari, D. A., Suprianto, B., & Baskoro, F. (2022). Monitoring daya listrik pada panel surya berbasis Internet of Things (IoT) menggunakan aplikasi Telegram. Indonesian Journal of Engineering and Technology (INAJET), 5(1), 1–10. https://doi.org/10.26740/inajet.v5n1.p1-10

[15] Winardi, B., Nugroho, A., & Alvin, Y. (2022). Monitoring and automatic cooling systems in realtime photovoltaic based on IoT. Bulletin of Computer Science and Electrical Engineering, 3(2), 55–65. https://doi.org/10.25008/bcsee.v3i2.1164,

Downloads

Published

2026-06-14

How to Cite

Azwa Soleha, Jefri Lianda, & Adam. (2026). IoT-Based Solar Power Plant Parameter Monitoring System. International Journal of Science and Environment (IJSE), 6(2), 1418–1424. https://doi.org/10.51601/ijse.v6i2.612

Issue

Section

Articles