From Great to Excellence: Approaching to Total Condition Based Management of Power Transformer under Smart Grid Operations

2015 ◽  
Author(s):  
Chan Loong Kwong ◽  
Chan Yan Tim ◽  
Ko Yik Yan ◽  
Leung Chun Kit
Keyword(s):  
Smart Grid ◽  
Power Transformer ◽  
Total Condition

scholarly journals IOT Based Fault Detection and Protection of Power Transformer in the Smart Grid

2021 ◽  
Vol 12 (1) ◽  
pp. 7
Author(s):  
Muhammad Kashif Sattar ◽  
Muhammad Waseem ◽  
Saqib Fayyaz ◽  
Riffat Kalsoom ◽  
Hafiz Ashiq Hussain ◽  
...  
Keyword(s):  
Fault Detection ◽  
Smart Grid ◽  
Power System ◽  
Power Transformer ◽  
Optimal Operation ◽  
Protection System ◽  
Power Transformers ◽  
Practical Implementation ◽  
Operating Condition ◽  
Current Voltage

This paper presents a novel Arduino-based fault detection and protection system for power transformers. Power transformers are an integral component of the power system infrastructure. Power transformers are present in such a significant number in the power architecture that any alteration in its operation effects the whole power system. The optimal operation of the transformer depends upon its operating condition; for this reason, its monitoring and protection are very important. Currently, power transformers employ differential relays to ensure optimal operation, but differential relays are unable to ascertain conditions such as overloading and intra turn faults. In this paper, Arduino was used to monitor transformer operation instead of differential relays and generate tripping or alert signals based on sensed values. Arduino autonomously sensed the current, voltage, and temperature values of the power transformer round the clock and handled any fault by comparing preset values of these parameters. In addition, the differential relay functionality of fault detection was implemented in the Arduino environment. Whenever a fault occurred, Arduino sent the fault signal to a Wi-Fi module, which was then displayed in the Blynk app. The practical implementation of this proposed system was tested, and its operation was found to be effective in fault detection.

scholarly journals Smart Transformer for Smart Grid—Intelligent Framework and Techniques for Power Transformer Asset Management

2015 ◽  
Vol 6 (2) ◽  
pp. 1026-1034 ◽  
Author(s):  
Hui Ma ◽  
Tapan K. Saha ◽  
Chandima Ekanayake ◽  
Daniel Martin
Keyword(s):  
Smart Grid ◽  
Asset Management ◽  
Power Transformer

Effect of No-load and Load Condition on Transformer Sound

2018 ◽  
pp. 11-15
Author(s):  
Dr. Hitesh Paghadar
Keyword(s):  
Experimental Study ◽  
Power Transformer ◽  
Load Condition ◽  
Noise Pollution ◽  
Sound Level ◽  
Measurement Scale ◽  
Dominant Factor ◽  
Public Attention ◽  
Level Measurement ◽  
Human Ear

Increasing environment noise pollution is a matter of great concern and of late has been attracting public attention. Sound produces the minute oscillatory changes in air pressure and is audible to the human ear when in the frequency range of 20Hz to 20 kHz. The chief sources of audible sound are the magnetic circuit of transformer which produces sound due to magnetostriction phenomenon, vibration of windings, tank and other structural parts, and the noise produced by cooling equipments. This paper presents the validation for sound level measurement scale, why A-weighted scale is accepted for sound level measurement, experimental study carried out on 10MVA Power Transformer. Also presents the outcomes of comparison between No-Load sound & Load sound level measurement, experimental study carried out on different transformer like - 10MVA, 50MVA, 100MVA Power Transformer, to define the dominant factor of transformer sound generation.

Determination of parameters of short circuit of power transformer by means of mathematical modeling

2017 ◽  
Vol 26 (102) ◽  
pp. 110-119
Author(s):  
D. S. Yarymbash, ◽  
◽  
S. T. Yarymbash, ◽  
T. E. Divchuk, ◽  
D. A. Litvinov
Keyword(s):  
Mathematical Modeling ◽  
Power Transformer ◽  
Short Circuit ◽  
Determination Of Parameters
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