TRANSFORMER HEALTH CONDITION STATUS MONITORING AND DIAGNOSIS USING IOT

1 B.Balamurugan , 2 M.Tharikushen, 3 S.Manoj, 4 S.Mohamedkipayathulla ,5 D.Hariharan

1 UG Scholar , 2 UG Scholar , 3 UG Scholar, 4 UG Scholar, 5 Assistant Professor,1Department of Electrical and Electronics Engineering,

1 P.R. College of Engineering , Thanjavur, India

IJTCSE Research /ISSN 2349–1582 conference publication

Abstract : : A recent huge interest in Machine to Machine communication is known as the Internet of Things (IOT), to allow the possibility for autonomous devices to use Internet for exchanging the data. This work presents design and execution of real time monitoring and fault detection of transformer and record key operation indictors of a dispersion transformer like load current, voltage, transformer oil and encompassing temperatures and humidity. They have to look at it continuously by using this project it can minimize working efforts and improve accuracy, stability, efficiency in this project, sensors are used to sense the main parameters of equipment such as voltage, current(over voltage, under voltage, over current) this sensed data is sent to microcontroller and this controller checks parameter limits which further send to the IOT web server using IOT module of these data makes sure the right information is in hand to the operator and operator can make useful decisions before any catastrophic failure on basis of that data of parameters.

Index Terms — IOT, TRANSFORMER, SENSOR,

INTRODUCTION

Every snapshot of our lifespan depends on electricity. Electricity unit has hardware that helps human to exchange and manage distribution as indicated by use. The transmission and distribution sector of electricity purely depends on transformer. The distribution transformer is an electrical gear in the control cabinet that specifically distributes energy to customers and its operational condition is vital for the distribution of organizational managers. In control panels, an electrical gearbox transformer transmits power specifically to low-voltage customers and its activity status is vital. criteria of the complete system task. The task of distributing the transformer in the recharging conditions (according to the details on its nameplate) guarantees a long service life. However, their life is essentially reduced when they are subjected to excessive loads, heating, low or highvoltage/current which cause surprising disappointments. The excessive and inadequate cooling of the transformers is the fundamental engine of disappointment.

EXISTING SYSTEM

The distribution transformer is electrical equipment in power system which distributes power to the users directly, and its operating condition is important to the distribution network operators. The operation of distribution transformers underrated condition guarantees their long life. However, their life is significantly reduced if they are subjected to overloading, resulting in unexpected failures and loss of supply to a large number of customers thus effecting power system reliability. Overloading and insufficient cooling of transformers are the main causes of failure. The monitoring device systems which are presently used for monitoring distribution transformer exist some problems and deficiencies.

PROPOSED SYSTEM

This system is designed for online monitoring of distribution transformers parameter can provide useful Information about the transformers health which will help the utilities to optimally use their transformers and keep the asset in operation for a long time. In this system, we used three sensors for monitoring that is voltage sensor, a current sensor, and temperature sensor. We used a power supply to operate microcontroller PIC16F877A and IOT Module. Sensors sense the data and display it on LCD display at the same time IOT module sends the data to the user on given IP address as per program. If we get an unsecured data about the system we can avoid failure. This is proposed a model of real-time transformer monitoring system using iot. This is classified in four parts- Power supply (230v step down transformer, bridge rectifier converter and regulator), controlling, data processing and data uploading.

HARDWARE REQUIRED:

• PIC16F877A
• Current Sensor
• Gas Sensor
• Temperature
• Level Sensor
• Relay
• AC Loads
• UART Cable
• IOT Module

Software required:

• MPLAB IDE
• PicKit-3
• PHP
• HTML

IoT-INTERNET OF THINGS

The Internet of Things (IoT) is an environment in which objects, animals or people are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS) and the Internet. The concept may also be referred to as the Internet of Everything.thing, in the Internet of Things, can be a person with a heart monitor implant, a farm animal with a biochip transponder, an automobile that has built-in sensors to alert the driver when tire pressure is low — or any other natural or man-made object that can be assigned an IP address and provided with the ability to transfer data over a network.

CIRCUIT DIAGRAM

RESULT

The project result is monitoring the transformer through IOT and whenever the fault occurs in a transformer that is immediately cleared or protected automatically by using IOT.

CONCLUSION

Current working condition of transformers is continuously monitored to detect three mentioned faults in it and this approach is known as Condition Based Monitoring (CBM) of transformers. A current based fault detection system is being developed where it is established that current waveforms are competent enough indicators for detecting the state of transformers. The Frequency domain analysis of 2nd harmonic in current waveform is performed for fault detection. To further increase the productivity and efficiency of this type of systems it has been noted that wavelet transforms are suitable tools for feature extraction because it makes analysis in both, time and frequency domain, possible. The system being developed will be a capable of replacing the currently existing systems for health monitoring such as DGA and will make possible the on-line and on-field health monitoring of transformers..

REFERENCES

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