Vijayalakshmi, A. and Omana, R. and Sanjiti, S. and Samath, G. Abdul and Abishek, B. Ebenezer (2023) IoT-Based System Development for Online Power Quality Condition Monitoring of Transformer. In: IoT-Based System Development for Online Power Quality Condition Monitoring of Transformer. IEEE, pp. 467-476.
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IoT-Based System Development for Online Power Quality Condition Monitoring of Transformer.pdf
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Abstract
Nowadays, observing and governing the smart grid equipment are significant issues for the energy board, which needs human intervention, or through PLC and SCADA systems. Transformers are one of the smart grid equipments which is used for electricity distribution and transmission. It reduces the primary voltage for customer use. By introducing Internet of things (IoT), a desirable smooth observing and trustworthy guiding system is attained over the whole equipment. IoT network embedded with electronics, software, sensors, actuators, and network connectivity for identifying, collecting, and exchanging the data. This system uniquely identifies through its implanted figuring system and interoperates within the Internet frame. All monitoring parameters are handled, and if any problem occurs, the system sends alert messages through the registered IP address. This paper presents an Internet of things-based system development for condition checking of smart grid equipment which requires less time and the resources efficiency will be high. The parameters’ values are sent to monitor through IP address, and if any problem occurs, the systems detect it immediately. An electronic engineer cannot continuously keep watching the transformer, so a prototype method has been developed and verified for computing the efficiency of smart grid system using Internet of things (IoT).KeywordsSensorTransformersCloudInternet of things
Item Type: | Book Section |
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Subjects: | Electronics and Communication Engineering > Data Communication |
Divisions: | Electronics and Communication Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 24 Sep 2024 08:00 |
Last Modified: | 24 Sep 2024 08:00 |
URI: | https://ir.vistas.ac.in/id/eprint/7029 |