Detection Technology
Transformer short-circuit test measurement
Transformers are important electrical operating equipment in power systems. It consists of a primary coil, a secondary coil, and an iron core. It is used to convert current and voltage. The application of transformers plays a significant role in promoting rapid economic growth. The contribution lies in the fact that transformers can be divided into many different functions and sizes, such as coupling transformers, power transformers, etc. Transformers can not only convert high voltage to low voltage, but also convert low voltage to high voltage, such as in remote power transmission processes.
A short circuit indicates that some circuits are short circuited. Short circuit testing is also known as transformer load testing or load loss testing. It measures short-circuit losses and impedance voltage at the rated current of the transformer.
When measuring, use a transformer loss parameter tester to short-circuit the low voltage, input the power supply to the high voltage side, and then manually or automatically apply voltage (when the current in the low voltage coil reaches its rated current) divided by the high voltage rated voltage. We will obtain the percentage of impedance voltage. At this point, when the current of the low and high voltage coils reaches the rated value, the load loss (copper loss) value of the transformer can be obtained.
By measuring the impedance voltage and short-circuit losses of the load, the parallel operation conditions of the transformer can be determined. The efficiency, thermal stability, and dynamic stability of the transformer can be calculated, and the secondary voltage change rate can be determined by calculating the temperature rise effect of the transformer on the side. The shielding of transformers, additional losses caused by pressure rings or leakage of magnetic flux from the tank wall, and changes in the internal geometry of transformers can all be reflected through the load losses of transformers, and their impact is very significant.
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