IOT Based Transformer Health Monitoring and Theft Detection
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IOT Based Transformer Health Monitoring and Theft Detection
1Vishal Yadav, 2Sachit Mule, 3Swapnil Bubane, 4Sourabha Kadam, 5Rohan Aiwale, 6K.A. Mhaskar
1 - 5 Student, Department of Electrical Engineering, SBGI, Miraj
6 Assistant Professor, Department of Electrical Engineering, SBGI, Miraj
Abstract
The electrical power distribution systems are supposed to be reliable to ensure continuous power supply to the consumers. The distribution transformer plays a pivotal role for this. Hence the health and working status of the distribution transformer shall be known to the administration authorities. This also helps to determine the requirements of preventive maintenance. In addition to this, the electricity theft is a headache for distribution companies which leads to the financial loss. The companies have come up with antitheft laws and legal actions against electricity theft. However the electricity theft detection in practice is a manual procedure. This paper presents an IoT based technique for transformer health monitoring and electricity theft detection at a distribution transformer. The health detection is carried out to detect the working efficiency with current, voltage and temperature sensors and electricity theft detection is carried out by measuring the transformer secondary current and comparing it with the sum of all the consumers load current. The practical implementation results are discussed in this paper for a prototype model.
Keywords: IoT, Transformer Health Monitoring, Theft Detection, distribution
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