Supervisory Model for Predictive Transformer Protection And Maintenance Using Wireless Sensor Network (original) (raw)
Related papers
2015
New technique are used Power transformers are traditionally protected by differential protection schemes that use voltages and currents to detect abnormalities in the differential zone of protection. A short circuit or high magnitude current must be present to activate a trip. Many transformer protection relays available today have protection functions that operate on insulating oil temperatures, calculated loss-of-life due to high oil temperature,and predicted oil temperatures due to load. These types of functions are not routinely applied, often since protection engineers may lack an understanding of the operating of these functions, and transformer operating conditions, to properly determine a settings me thodology. When looking at these temperature-based functions is the risk of accelerated aging, and transformer failure, is increasing. In utility operating practices try to maximize the utilization of power transformers, which may increase the occurrence of over-temperature cond...
Wireless Communication System for Monitoring Physical Parameters of Distribution Transformers
This paper discusses a system that has been designed to monitor distribution transformers for their protection against failure. India has the highest record of failure of distribution transformers (around 20%). Usually a distribution transformer is designed to work for about 20-30 years but due to the large number of distribution transformers in most areas, monitoring of each transformer becomes difficult and as a result they last for only 4-5 years. The parameters monitored are oil level in the transformer tank and the oil temperature.The system has been designed with analog sensor circuit governing the oil level and oil temperature. These circuits have been interfaced to a microcontroller for wireless transmission of the detected parameters to the control room. Displays at both the site and the control room have been arranged. The detected changes in oil level and oil temperature help the officials at the control room to realize a fault in any distribution transformer in their are...
A Comprehensive Review on Distributed Sensor Network for Monitoring Distribution Transformer
The aim of this paper is to present a comprehensive review on monitoring of distribution transformer using internet of things(IOT). It provides a method of implementing LoRa (Long-range) technology, Micro-Controller, ZigBee Wireless Network and simulation of differential protection relay for monitoring and diagnosing the condition of distribution transformers using specified sensors/devices. Development of IOT based solution using LoRa and ZigBee wireless technology are the recent researches that are conducted for monitoring of distribution transformer using distributed sensor network. Great numbers of distribution transformers are required to distribute power over a wide area. That being the case, it is essential to keep an eye on its condition for satisfactory operation of any distribution network. The intraclast researches depict that employing distributed sensor network for condition monitoring of distribution transformer on the developed web application have merits/demerits. However, the merits are predominant as it includes continuous monitoring of DTs, timely alerts to rectify the abnormality if any, thereby extending the lifetime of distribution transformers, simplifying the troubleshooting in the distribution network and providing customers with proper service. For the accomplishment of the above aspects the work of previous researchers is discussed briefly. This study also presents the scope of a new research for monitoring and controlling of distribution transformer using artificial intelligence (AI).
Condition Monitoring of Distribution Transformer using IOT
International Journal of Engineering Research and, 2020
Distribution transformers are one of the most important equipment in power network. Because of, the large number of transformer distributed over a wide area in power electric system, the data acquisition and condition monitoring is a important issue. To monitor this operator has to visit to transformer location itself. The main aim of this system is to monitoring the distribution transformer parameter like load current, voltage, oil level and oil temperature using IOT. So using this it can minimize working efforts and improve accuracy, stability and efficiency. Sensors are used to sense the main parameters of equipment such as voltage, current, temperature and oil level, this sensed data is sent to ESP 32 microcontroller. ESP 32 is a series of low cost, low power on a chip microcontroller with integrated Wi-Fi and dual mode Bluetooth. So, there is no need to connect Wi-Fi module externally, hence size of project is also small. This controller checks parameter limits which further send to the IOT web server Blynk software using Wi-Fi 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.
IJERT-Implementation of Wireless based Real Time Transformer Health Monitoring System
International Journal of Engineering Research and Technology (IJERT), 2020
https://www.ijert.org/implementation-of-wireless-based-real-time-transformer-health-monitoring-system https://www.ijert.org/research/implementation-of-wireless-based-real-time-transformer-health-monitoring-system-IJERTCONV8IS07018.pdf Electricity plays an important role in our life. Every moment of our life depends upon electricity. Electricity has several components and equipment helping human to transfer and regulate the distribution according to usage. The most crucial equipment of transmission and distribution of electric power is transformer. As a large number of transformers are distributed over a wide area in present electric systems, it's difficult to measure the condition manually of every single transformer. So automatic data acquisition and transformer condition, measuring has been an important issue. This paper presents design and implementation of a mobile embedded system to measure load currents, over voltage, transformer oil level and oil temperature. This is implemented by using on-line measuring system using Wireless, with single chip Arduino microcontroller and sensors. It is installed at the distribution transformer site. The output values of sensors are processed and recorded in the system memory. System programmed with some predefined instructions to check abnormal conditions. If there is any abnormality on the system, details are automatically updated in the Mobile through Wireless communication. GSM will help the utilities to optimally utilize transformers and identify problems before any catastrophic failure occurs. Thus wireless-measuring system is used to collect and analyze temperature data over time. So Transformer Health Measuring will help to identify or recognize unexpected situations before any serious failure which leads to a greater reliability and significant cost saving.
Real Time Monitoring of Transformer using IOT
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, undervoltage, over current) this sensed data is sent to microcontroller and this controller checks parameter limits which further send to the IOT web server Adafruit software using Wi-Fi 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.
Transformer Health Monitoring and Protection Using IoT
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
Distribution Transformers are a critical part of the electrical power system. Data collection and transformer condition monitoring are very important for preventing transformer failures. In order to monitor the transformer, the operator has to visit the transformer premises. The main purpose of the project is to monitor the transformer parameters such as temperature, current, voltage, and oil level using IoT. Sensor networks are used to obtain transformer parameters. This system can minimize work effort, improve accuracy, reliability, and efficiency. This received data is sent to the Arduino UNO microcontroller. The recorded data is sent through ESP 8266 Wi-Fi module and accessed from anywhere around the world using IOT technology using HTTP protocol. This helps in identifying without human dependency. This helps in identifying and solving a problem before a failure without human dependency.
Real Time Monitoring of a Distribution Transformer based on IoT
International Journal of Scientific Research in Science, Engineering and Technology, 2020
In this project represents the real time monitoring of a distribution transformation based on iot, i.e. Implemented on a mobile embedded system to measure to load current, voltage, temperature and humidity. The internet of things is an online based working of physical devices, vehicles and other objects which consists of an embedded system with sensors, actuators and network connectivity that collect and exchange data. The iot allows the objects to be sensed and/or controlled remotely across the existing network of the physical world into computer-based systems, and result in improved accuracy, efficiency and economic benefits. It is installed at the distribution transformer site. The load current, voltage, temperature and humidity of the distribution transformer is measured by the sensors are processed and recorded in the system memory. The system is programmed with a code to check the abnormal condition. The iot will help the utilities to monitor the distribution transformer in minute to minute date transfer to the user to identify the problems before any catastrophicfailure occurs. Hence the minute to minute monitoring of a distribution transformer health measuring will help us to identify or predict the unexpected situations before any fault occurs which leads to a greater economic loss.
Monitoring and Control of Operational Parameters of Distribution Transformer using IoT Technology
Distribution transformers are one of the most important equipment in power system network. Because of the large numbers of transformers are widely used in the power system, Therefore the data acquisition and monitoring is important issue in the large distribution network. The main objective of this proposed work is that distribution transformer monitoring and controlling through IoT technology. The signal is sent to control room using a IOT technique interfaced with WI FI connectivity. When the power supply is interrupted due to faults in the one transformer then load sharing is done on the other transformer through IoT technology, If any deviation in the operational parameter or any disturbance occurs, the system sends SMS (short message service) messages to the mobile phones containing information about the deviation according to some predefined instructions programmed in the micro controller to safeguard the transformer against technical problems like over working temperature, low oil level and over load. At present man power is employed and there is no accuracy, safety and reliability for distribution of power supply. Therefore proposed work is designed efficiently to overcome these problems using IoT technology.