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

Hanafi, Dirman; Aziz, Zarkhoni

doi:10.31258/ijeepse.5.1.19-23

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Once the temperature data is collected, Node-RED's user-friendly interface enables developers to perform a variety of data processing activities. These tasks could include data filtering, averaging, or activating alarms based on predetermined thresholds [11]. Node-RED includes a variety of built-in nodes for such processes, making the implementation process simple.…”

Section: Introductionmentioning

confidence: 99%

Temperature Sensor Integration into the Node-RED Platform for Transformer Monitoring

Nugraha,

Hermawan,

Mulya

et al. 2023

J. Phys.: Conf. Ser.

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Transformers must be continuously monitored to guarantee dependable and effective performance. The combination of Internet of Things (IoT) technology and sophisticated data processing systems opens up new possibilities for improved transformer monitoring in this context. To enable real-time monitoring of transformer conditions, this study focuses on the integration of IoT temperature sensors into the Node-RED platform. The suggested method gathers temperature information from several locations inside the scale laboratory transformer using IoT temperature sensors. The Node-RED platform receives the collected data and processes, analyzes, and visualizes it in real time. Comprehensive monitoring is made possible by the platform, allowing operators to quickly identify any unusual temperature swings or potential problems inside the transformer. For older transformers built with normal Kraft paper, the rated hot spot temperature is either 90°C according to IEEE or 97°C according to IEC. The Node-RED platform’s incorporation of IoT devices not only provides real-time monitoring capabilities but also offers the flexibility to implement predictive maintenance strategies. By harnessing the power of data analytics and visualization, operators can make informed decisions to optimize transformer performance, extend its lifespan, and minimize downtime. The results of this study demonstrate the effectiveness of the IoT temperature sensor integration into the Node-RED platform for laboratory transformer monitoring. Based on the measurement winding temperature at the transformer has reached 90 ˚C at full load, and then the system starts to activate the blower to cool the transformer. The approach contributes to the advancement of transformer management practices, ensuring the reliability and efficiency of critical energy infrastructure.

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Section: Introductionmentioning

confidence: 99%

Temperature Sensor Integration into the Node-RED Platform for Transformer Monitoring

Nugraha,

Hermawan,

Mulya

et al. 2023

J. Phys.: Conf. Ser.

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“…The application of Internet of Things (IoT) technology has begun to be used to implement monitoring of transformer health conditions in real time [9]. The IoT system itself is a telecommunications system with wireless media consisting of several mobile devices, sensors or other devices that communicate with each other and achieve certain goals [10].…”

Section: Introductionmentioning

confidence: 99%

The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas

Nojeng,

Jaya,

Murniati

2023

ijeeic

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This paper introduces a three-phase unbalanced load condition monitoring system in a power distribution network that can monitor and provide early warning. The distribution system is a component of the power system that must always be observed in maintaining the service of delivering electricity to customers. Currently, many technologies are applied to the distribution system that can ensure the operation of the distribution network, especially distribution transformers to determine real-time transformer conditions so that damage and power losses can be minimized, but do not provide early detection. Therefore, the role of information technology is currently one of the investments that must be made for all electric power supply operators in maintaining the performance of distribution transformers through early detection. In this study, the system developed based on Internet of Things (IoT) technology that was built consists of: embedded system devices that function to carry out measurements and transmit data, Web Service software that functions to receive data from sensor systems, and Arduino-based software using the Blynk Cloud application platform in presenting data and managing data through Android display devices (HP/Laptop). The Blynk is a compatible platform for applications on Mobile OS (iOS and Android) in controlling Arduino, Raspberry Pi, or ESP8266-based modules, as well as similar modules via the Internet (IoT). This system was built to provide an early warning function against network parameter anomalies such as overload, overvoltage, and unbalanced load. After getting the data, the system will perform calculations to obtain recommendations for system optimization in the form of balancing, maintenance, or load maneuver. Based on testing, the time needed to send and receive notifications on smartphone users via the blynk application ranges from 3-4 seconds. By setting a tolerance limit of 20%, when the load is severely unbalanced where the neutral current is almost equal to or greater than the phase current, the local indicator light will light up and the Android system will provide an unbalanced load indicator.

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

Cited by 2 publications

References 7 publications

Temperature Sensor Integration into the Node-RED Platform for Transformer Monitoring

Temperature Sensor Integration into the Node-RED Platform for Transformer Monitoring

The Real Time Monitoring System and Early Detection of Unbalanced Load for the Three Phase Distribution Systems in Urban Areas

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