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Low-cost and Efficient Fault Detection and Protection System for Distribution Transformer

Authors :
James Garba Ambafi
Buhari Ugbede Umar
Olayemi Mikail Olaniyi
Omeiza Rabiu Isah
James Agajo
Source :
Kinetik, Vol 5, Iss 1, Pp 79-86 (2020)
Publication Year :
2020
Publisher :
Universitas Muhammadiyah Malang, 2020.

Abstract

Distribution transformers are a vital component of electrical power transmission and distribution system. Frequent Monitoring transformers faults before it occurs can help prevent transformer faults which are expensive to repair and result in a loss of energy and services. The present method of the routine manual check of transformer parameters by the electricity board has proven to be less effective. This research aims to develop a low-cost protection system for the distribution transformer making it safer with improved reliability of service to the users. Therefore, this research work investigated transformer fault types and developed a microcontroller-based system for transformer fault detection and protection system using GSM (the Global System of Mobile Communication) technology for fault reporting. The developed prototype system was tested using voltage, current and temperature, which gave a threshold voltage higher than 220 volts to be overvoltage, a load higher than 200 watts to be overload and temperature greater than 39 degrees Celsius to be over temperature was measured. From the results, there was timely detection of transformer faults of the system, the transformer protection circuits were fully functional, and fault reporting was achieved using the GSM device. Overall, 99% accuracy was achieved. The system can thus be recommended for use by the Electricity Distribution Companies to protect distribution transformers for optimal performance, as the developed system makes the transformers more robust, and intelligent. Hence, a real-time distribution transformer fault monitoring and prevention system is achieved and the cost of transformer maintenance is reduced to an extent.

Details

Language :
Indonesian
ISSN :
25032267 and 25032259
Volume :
5
Issue :
1
Database :
OpenAIRE
Journal :
Kinetik
Accession number :
edsair.doi.dedup.....0ff16b0dc2e9974f8f2ba8940afe1d7b