Load Distribution, Monitoring, and Control on Transformer Using IoT

Distribution Transformers are one of the most important equipment in the Power System. In Power System, Supervisory Control and Data Acquisition (SCADA) is used to monitor or record all the parameters of Power Transformer online but for the Distribution Transformers, we do not have such kind of faci

2025-06-28 16:34:00 - Adil Khan

Project Title

Load Distribution, Monitoring, and Control on Transformer Using IoT

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

Distribution Transformers are one of the most important equipment in the Power System. In Power System, Supervisory Control and Data Acquisition (SCADA) is used to monitor or record all the parameters of Power Transformer online but for the Distribution Transformers, we do not have such kind of facility. An individual has to visit the Distribution Transformer and has to record all the parameters manually. Therefore, data collecting, and monitoring are some of the major issues in a large distribution network. Monitoring devices that are currently being used have some deficiencies such as: • Manually monitoring system measures only one parameter at a time i.e., Voltage, Current, temperature, etc. • This process is time taking and less efficient. • There is no effective mode of communication and transfer of information in this technique. Overloading of Distribution Transformers is the most common issue we are facing nowadays. Hence Load management should be done in order to protect the distribution transformers from any failure. Nowadays there is a massive increase in the development of the electronics industry that increases the maximum demand. Load management, also known as demand-side management (DSM), is basically improving the system load factor. There are many methods of load management that can be adopted by the industries or by powerhouses such as load shedding, load shifting, energy storage devices, etc. Load shifting is one of the best options we have for load management. Load shifting involves shifting the load in such a way that loads are being transferred from peak to off-peak periods, hence improving the load factor. To solve this issue, we have to introduce a smart grid system i.e., an IoT (Internet of Things) based system, which will allow us to monitor and control of distribution transformer. The IoT-based system will monitor and record the key parameters of DT like load current, voltage, temperature & humidity, oil temperature, etc. Thus, the real-time monitoring of the distribution transformer will allow us to make changes immediately if any issue arrives like overloading. The main purpose of this project is to develop an intelligent monitoring system for the distribution transformer which will monitor the key parameters of DT and when the transformer is being overloaded 4 during peak period, the system will detect the issue and then communicate online with the concerned department. The system will immediately transfer the load to the second transformer to avoid overloading and any failure of DT.

Project Objectives

Objectives of the project are given below:

Project Implementation Method

In our SDP, key parameters of both the 3-phase transformers are being monitored i.e., current, voltage, temperature, etc. All the sensors are connected to the microcontroller. Data from the sensors will be displayed on the Blynk App using a Wi-Fi module and Receiver & Transmitter for two-way communication. Here monitoring part of our project is done.

The next part is the protection of 3-phase transformers from overloading. The load distribution and monitoring system comprise a fuzzy logic controller and a monitoring node station. In the first step the fuzzy logic controller, attached between two transformers, monitors the load and if one of the transformers is overloaded then the load of one phase of that transformer is shifted to the other transformer using power relay as a phase-swapping switch. Secondly, if both the transformers are overloaded then both the loads are shed from the transformers. On the other side, the monitoring node station receives data from sensors and displays it on LCD and mobile or PC app. The fuzzy logic controller is used because the fuzzy logic controller is an intelligent tool to manage the loading condition, to protect transformers from overload conditions. This controller can deal with three cases of loads.

Case (I): The two transformers are at a normal state. When the two transformers are at a normal state, during this time the sharing relay was not energized because it feeds its load at a normal state.

Case (II): When one of the transformers is overloaded. When one transformer is at a normal state and another is overloaded, at this condition the sharing relay is energized to share the load.

Case (III): The two transformers are overloaded for each phase. When two transformers are overloaded, at this condition the relay will trip to protect transformers.

Benefits of the Project Technical Details of Final Deliverable

In the first step, the controller collects the data from the sensors. The data can be analogue or digital depending upon the type of sensors we are using in our SDP. After getting the data from the microcontroller, data will be sent to the Blynk app using a Wi-Fi module allowing us two-way communication. We have set a safe limit for each parameter of our distribution transformer, whenever any of the parameters violates its safe limit like overcurrent or overvoltage. It will be detected from the Blynk app directly and now the Fuzzy Logic Controller will play his role. If one transformer is overloaded and it can be seen from the Blynk app then the controller will automatically shift the load to the second transformer for safe working of both the transformers.

Load Distribution, Monitoring, and Control on Transformer Using IoT _1639952913.png

Final Deliverable of the Project HW/SW integrated systemCore Industry Energy Other IndustriesCore Technology Internet of Things (IoT)Other TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 70000
Single Phase AC Transformer Equipment6300018000
Node MCU ESP 8266 E-12 Equipment28001600
Arduino UNO Equipment210002000
Current Sensor (ACS 712) Equipment25001000
Voltage Sensor (ZMPT 101B) Equipment25001000
Oil Sensor(DS18B20) Equipment25001000
ILI9341 TFT Display Equipment230006000
ST7735 Display Equipment230006000
Microprocessor Power Relay Equipment2500010000
Project Casing Equipment11000010000
Connecting wires Equipment120002000
Switches Equipment1250600
Cooling Fans Equipment63001800
Bulbs Equipment122002400
Bulb Holders Equipment1250600
Panaflex, stationary, project case paint, etc Miscellaneous 160006000

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