A Transformer Fault Detection Method and System Based on Fractional Order Model

Abstract

This disclosure discloses a transformer fault detection method and system based on a fractional order model, including obtaining the relationship between transformer winding inductance and flux linkage through the change of winding when the transformer is faulty, so as to construct a transformer fault model; using an improved Oustaloup filter algorithm to construct Fractional-order operators, using fractional-order operators to replace integer-order calculus operators in transformer fault models, constructing transformer fractional-order models; using transformer fractional-order models to detect changes in electrical quantities during transformer faults. In order to establish an accurate three-phase transformer internal fault model, a fractional calculus operator is introduced to replace the original integer-order operator, and the first-order integral is changed to an adjustable 0-1 order integral to more accurately reflect internal faults The waveform changes of transformer electrical quantities under certain conditions can better detect and eliminate transformer faults.

Description

technical field [0001] The present disclosure relates to the technical field of transformer faults, in particular to a transformer fault detection method and system based on a fractional order model. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Power transformers play a pivotal role in the operation of my country's power system, and undertake the important role of transforming one level of voltage into another level of voltage. The normal and stable operation of power transformers plays a vital role in the safe and reliable power supply of the entire power grid. Especially modern large-scale transformers have large capacity, high voltage level, complex structure, and high cost. Once a fault occurs and is damaged, it will bring a series of problems such as wide-ranging, difficult maintenance, long maintenance cycle, and heavy economic ...

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Problems solved by technology

[0010] (1) The ideal transformer model is used to simulate the internal fault of the transformer without considering the change of magnetic flux leakage when the transformer fails, so it cannot accurately reflect the fault mechanism of the transformer;

[0011] (2) The calculation of the transformer model based on the leakage magnetic field is complicated, and the calculation amount is huge, and the versatility is poor;

[0012] (3) Under the transformer fault model based on leakage inductance and magnetizing inductance, the leakage flux of the transformer is closely related to the distribution and arrangement of the coils, which is also not universal;

[0013] (4) The internal fault mechanism of the transformer is relatively complicated, but due to the lack of scientific and powerful analysis tools, the transformer protection cannot calculate the change of the fault electrical quantity more accurately like the line protection, which is very important for the fault detection and troubleshooting of the transformer. bring great difficulty

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