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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67639
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electrical Engineering
Priyadarshini College of Engineering, Nagpur, Maharashtra, India.
Department of Electrical Engineering
Priyadarshini College of Engineering, Nagpur, Maharashtra, India.
Department of Electrical Engineering
Priyadarshini College of Engineering, Nagpur, Maharashtra, India.
Department of Electrical Engineering
Priyadarshini College of Engineering, Nagpur, Maharashtra, India.
Department of Electrical Engineering
Priyadarshini College of Engineering, Nagpur, Maharashtra, India.
Department of Electrical Engineering
Priyadarshini College of Engineering, Nagpur, Maharashtra, India.
The increasing and continuously varying power demand in industrial applications can cause transformer overloading, excessive temperature rise, equipment damage, and unexpected power interruptions. This paper presents an IoT-based Smart Transformer with Power Monitoring and Automatic Load Balancing System using two transformers for reliable industrial power distribution. Under normal load conditions, Transformer 1 supplies the required power while Transformer 2 remains in standby mode. When the load exceeds a predefined threshold, the Arduino controller automatically activates Transformer 2 to share the additional load, thereby reducing the loading stress on the first transformer. Voltage and current sensors continuously measure electrical parameters, while a temperature sensor monitors transformer thermal conditions. The measured parameters are processed by an Arduino UNO and displayed locally on an LCD. An ESP8266 IoT module transmits real-time voltage, current, temperature, power, and transformer operating status to a cloud platform for remote monitoring. An automatic cooling fan is activated when the transformer temperature exceeds the specified safety limit. The proposed system combines automatic load management, thermal protection, local monitoring, and IoT-based remote supervision. The approach can improve transformer utilization, reduce overheating risks, support preventive maintenance, and enhance reliability and safety in industrial power distribution systems.
KEYWORDS
The proposed Smart Transformer with IoT-Based Power Monitoring and Automatic Load Balancing System provides an integrated approach for improving transformer operation in industrial applications. The developed concept uses two 0.5 kVA, 230/12 V transformers, Arduino UNO, voltage and current sensors, a DS18B20 temperature sensor, relay modules, LCD display, cooling fan, and ESP8266 IoT connectivity. Under normal loading, Transformer 1 supplies the load while Transformer 2 remains OFF. When the load exceeds the predefined 400 VA threshold, Transformer 2 is automatically activated to share the load. For the considered 700 VA high-load condition, both transformers share approximately 350 VA each, corresponding to about 70% loading and 29.17 A secondary current per transformer. The system also provides continuous monitoring of voltage, current, power, and temperature. Automatic cooling is incorporated to respond to high-temperature conditions, while the LCD enables local observation and the IoT module supports remote monitoring through the cloud. Therefore, the proposed system demonstrates a practical framework for automatic load management, transformer protection, and real-time supervision. The calculated results support the feasibility of the proposed prototype, while actual hardware testing will be required to validate sensor accuracy, switching performance, thermal response, and IoT communication under practical operating conditions.
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Publication Date
10/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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