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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM22917
Volume:
7 |
6 |
Jun 2023
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 and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Department of Electrical and Electronics Engineering,
Ballari Institute of Technology and Management, Ballari, Karnataka, India
Transformers are essential components of electrical power distribution systems and are required to operate continuously while supplying varying consumer loads. Sudden increases in load beyond the rated capacity of a transformer may result in overloading, excessive heating, insulation deterioration, and interruption of the power supply. This paper presents a microcontroller-based automatic load-sharing system designed to distribute the load between two transformers and thereby reduce the possibility of transformer overloading. A current transformer continuously monitors the load condition, while a PIC16F877A microcontroller processes the sensed information and controls relay switching. Under normal load conditions, the main transformer supplies the connected load. When the load exceeds the predefined limit, the controller automatically activates the second transformer so that the load current is shared between both transformers. An LCD and LED indicators provide information regarding system operation. The proposed system improves transformer utilization, enhances reliability, minimizes overload conditions, and supports uninterrupted power delivery.
KEYWORDS
A microcontroller-based automatic transformer load-sharing system has been presented for protecting transformers against excessive loading and improving continuity of electrical supply. The PIC16F877A microcontroller monitors the load condition and automatically controls the connection of an additional transformer through relay switching. When the load exceeds the specified limit, the second transformer is activated and the load current is shared between the transformers. The developed prototype demonstrates the feasibility of automatic load management and provides advantages including improved reliability, reduced transformer stress, enhanced safety, and reduced dependence on manual operation. The system can therefore provide a practical approach to transformer load management in electrical distribution applications.
[1] R. K. Varma and P. S. Kulkarni, “Design of automatic load sharing system using microcontroller,” 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017, pp. 873–877. [2] M. A. Azam and S. M. Ali, “Automatic Load Sharing of Transformer Using Microcontroller,” 2018 3rd International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2018, pp. 1–6. [3] N. R. Patel and M. V. Patel, “Design and Implementation of Automatic Load Sharing of Transformer using Microcontroller,” 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), Nagercoil, India, 2016, pp. 1–5. [4] A. B. Abdallah, A. A. Yassin, and M. A. Ali, “Design and simulation of automatic load sharing system for three phase transformer using microcontroller,” 2015 10th International Conference on Computer Engineering & Systems (ICCES), Cairo, Egypt, 2015, pp. 10–15. [5] H. Shah, S. P. Vyas, and M. P. Singh, “Automatic load sharing of transformers using microcontroller based system,” 2012 International Conference on Computer and Communication Technology (ICCCT), Allahabad, India, 2012, pp. 441–444.
Publication Date
6/26/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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