Internet of Things (IoT) Based Electrical Power Monitoring System for Solar Power Plants Using Telegram Application
DOI:
https://doi.org/10.26740/vubeta.v2i3.39405Keywords:
Renewable Energy, Clean and affordable energy,, Internet of things, PV Solar Panel, MonitoringAbstract
Indonesia, with its tropical climate, possesses substantial solar energy potential. However, traditional monitoring of solar power systems in Indonesia still relies on manual observation, making the process inefficient, time-consuming, and prone to error. To address these limitations, this study proposes the design and implementation of a real-time Internet of Things (IoT)-based monitoring system for solar power plants using the Telegram application as the user interface. The system integrates the ESP32 microcontroller and the Pzem-004 T sensor to measure AC electrical parameters, including voltage, current, power, energy, frequency, and power factor. Unlike previous studies that used platforms such as Blynk or ThingSpeak, this research introduces Telegram as an innovative messaging-based monitoring platform, offering greater accessibility, simplicity, and user familiarity. The monitoring system was tested on a single-phase off-grid solar power setup, utilizing five types of household electrical loads, to validate its accuracy and reliability. The ESP32 communicates with the Telegram bot through Wi-Fi, and users can retrieve real-time data via predefined commands. Experimental results demonstrate high measurement accuracy, with average errors of 0.07% for voltage, 0.1% for current, and 0.08% for power. These results confirm that the system provides reliable data transmission and sensor readings. This work contributes a low-cost, efficient, and user-friendly alternative to conventional monitoring systems, particularly for decentralized renewable energy systems in remote or off-grid areas. The integration of Telegram as a communication medium for energy monitoring adds a novel dimension to IoT-based power system applications.
Author Biographies
Rezi Delfianti, Faculty of Advanced Technology and Multidisciplinary, Airlangga University, Surabaya, Indonesia
Rezi Delfianti was born in Bukittinggi, West Sumatera. She received her Ph.D. Degree in Electrical Engineering from Institut Teknologi Sepuluh Nopember (ITS), Indonesia, in 2023 through the Ministry of Research, Technology, and Higher Education’s Fast Track Scholarship. She is currently an Outstanding Academician and a Researcher in the Department of Electrical Engineering at the Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Surabaya, Indonesia. Her research interests include Optimization for Smart Grids, IoT, Applied Machine Learning, and Data Analytics for Smart Grids and Smart Cities. She also focuses on Energy Management, Optimization of Business Models, and Mechanism Design for Incentivizing Participation in Energy Transactions.
Venny Aminda Tazayul, Faculty of Advanced Technology and Multidisciplinary, Airlangga University, Surabaya, Indonesia
Venny Aminda Tazayul was born and raised in Surabaya, East Java. In 2020, she began her undergraduate studies at Airlangga University, majoring in Electrical Engineering with a focus on High Voltage System Engineering. She has a great interest in the development of electric vehicles and IoT, as evidenced by her becoming a finalist in the Shell Eco-marathon Asia-Pacific and the Middle East 2024 contest in the urban concept - battery electric category held at the Mandalika Circuit, Central Lombok-NTB, and the creation of an IoT system circuit applied to solar power plants (PLTS) to determine the value of Kwh that has been used.
Bima Mustaqim, Educational Technology, Postgraduate State University of Medan, Medan, Indonesia
Bima Mustaqim is a magister student in the Educational Technology, Postgraduate Medan State University, Medan, Indonesia. He received his bachelor's degree in Electrical Engineering Education from Medan State University, Indonesia, in 2018 with a research interest about vocational education, educational technology, augmented and virtual reality, renewable energy, machine learning for powers and energy systems, and artificial intelligence.
Fauzan Nusyura, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Malaysia
Fauzan Nusyura was born in Surabaya, East Java, Indonesia, on November 20, 1991. He obtained a Bachelor's degree in Electrical Engineering from Brawijaya University, Indonesia in 2015 and obtained a Master's degree in Engineering at the Department of Electrical Engineering, Sepuluh Nopember Institute of Technology, Indonesia in 2020. His research focuses on Artificial Intelligence and its Applications in Electrical Engineering.
Catur Harsito, Mechanical, Computer, Industrial Management Engineering, Kangwon National University, Korea
Catur Harsito was born in Temanggung, Indonesia at April 17th 1992. Degree: S.T. (2017) in Mechanical Engineering from Universitas Sebelas Maret, Surakarta-Indonesia. M.T. (2019) in Mechanical Engineering from Universitas Sebelas Maret, Indonesia. He has work as Lecture at Universitas Sebelas Maret, Surakarta, Central Java, Indonesia. He pursuing a Ph.D degree at Kangwon National University, Republic of Korea. Harsito publication had written to the Theoretical and Applied Mechanics Letters, Energies
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