Method for predicting far-field noises of converter transformer

Abstract

The invention relates to a method for predicting far-field noises of a converter transformer. The method comprises the steps of 1) according to a factory sound power level and a noise spectrum of theconverter transformer, building a Cadna/A prediction software-based model; 2) measuring a near-field noise value of the converter transformer and a spectrum of a sound receiving point; 3) converting sound pressure levels into sound pressures, and calculating respective contribution value proportions eta, wherein the sound pressure levels include sound pressure levels LPi, contributed by a converter transformer body and a fan of the converter transformer body, of the sound receiving point and a total sound pressure level LP of the sound receiving point; 4) by applying an inversion method of Cadna/A software, according to a contribution value proportion, adjusting sound power levels of the converter transformer body and the fan to make a predicted value of the sound receiving point basicallyconsistent with an error of an actually measured value; and 5) according to the adjusted model, performing far-field noise prediction of the converter transformer. According to the method, through Cadna/A software modeling, the model is adjusted to be matched with noise distribution around the converter transformer according to the percentage of the contribution values of the noise spectrums of the converter transformer body and the fan, thereby realizing accurate prediction of the far-field noises of the converter transformer.

Description

technical field [0001] The invention relates to the field of far-field noise prediction of a converter transformer, in particular to a method for accurately predicting the far-field noise of a converter transformer by improving the accuracy of a noise prediction model of the converter transformer. Background technique [0002] The converter transformer (hereinafter referred to as the converter transformer) is the main noise source of the HVDC converter station, and the noise prediction accuracy of the transformer will directly affect the far-field noise prediction effect of the converter station. Domestic research on transformer noise began in the 1980s. The main research units include large transformer manufacturing companies such as Xi'an Transformer Factory, Shanghai Transformer Factory, TBEA, etc., as well as local power supply departments and Wuhan High Voltage Research Institute and other scientific research institutions. Domestic research involves the mechanism of tra...

AI Technical Summary

Problems solved by technology

Most of the existing noise measurement technology and noise control technology refer to the technology of the transformer. The existing research technology is mainly limited to the transmission of the transformer in the open area, which is not suitable for the com

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