Design on IoT Based Real Time Transformer Performance Monitoring System for Enhancing the Safety Measures

Abstract

The Internet of Things (IoT) is a continuing massive excitement for machine-to-machine communications to encourage individual devices to use the internet for data sharing. This work introduces the design and performance of continuous transformer monitoring and failure diagnostic and documents main distribution transformers indicators such as load current, transformer oil level, gas formation, and temperature. By using this project one must continuously take a look at it and it will reduce progress and maximize the stability, accuracy, and performance of this project. The sensors are used to track recurrent errors or voltage intake variations. The observed information is transmitted to the microcontroller and it tests parameter limitations that send it to the IoT web server using the IoT module. This data sharing means that the appropriate data are presented to the customer and before any significant errors occur according to the collected data the user will make useful choices.

Towards next generation power grid transformer for renewables: Technology review

“…Advanced transformer management systems use upgraded thermal models, which are inherently more accurate, in addition to real-time observations and calculations for dynamic rating. 137 An advanced TMS should incorporate smart cooling functionality that, upon detecting a rapid rise in load, predicts what the final winding temperature will be and promptly activates cooling fans and pumps to cool the transformer without waiting for the temperature to drop to the desired level. The transformer management system acts as a lone point of contact with the outside world, substantially streamlining communications and making it easier to access data about every aspect of the transformer's functioning and status.…”

“…Based on real‐time measured ambient and transformer temperatures, conditions, cooling state, and load, the dynamic rating of a transformer is the highest load that may be applied without exceeding predefined thermal and current rating limits. Advanced transformer management systems use upgraded thermal models, which are inherently more accurate, in addition to real‐time observations and calculations for dynamic rating 137 . An advanced TMS should incorporate smart cooling functionality that, upon detecting a rapid rise in load, predicts what the final winding temperature will be and promptly activates cooling fans and pumps to cool the transformer without waiting for the temperature to drop to the desired level.…”

Towards Next Generation Power Grid Transformer for Renewables:Technology Review

“…Based on real-time measured ambient and transformer temperatures, conditions, cooling state, and load, the dynamic rating of a transformer is the highest load that may be applied without exceeding predefined thermal and current rating limits. Advanced transformer management systems use upgraded thermal models, which are inherently more accurate, in addition to real-time observations and calculations for dynamic rating [125]. An advanced TMS should incorporate Smart Cooling functionality that, upon detecting a rapid rise in load, predicts what the final winding temperature will be and promptly activates cooling fans and pumps to cool the transformer without waiting for the temperature to drop to the desired level.…”

Health Monitoring System for Transformer by using Internet of Things (IoT)

“…It provides useful information about the health of the distribution transformer and will facilitate the services of the transformer and increase the lifetime of a transformer [10]. The output data is stored in a database after processing so that the report can be viewed using mobile applications [11]. As a result, an online measurement device is used to collect and analyze various types of data from sensors over time [12].…”

“…The output data is stored in a database after processing so that the report can be viewed using mobile applications [11]. As a result, an online measurement device is used to collect and analyze various types of data from sensors over time [12].…”