基于可靠度的变压器声功率遗传算法研究

换流变压器是高压直流换流站中主要的噪声源,对换流变压器噪声的预测精度直接影响到后期整个换流站噪声预测模型的准确性,因此,准确获得换流变压器的声功率至关重要。根据《声学 户外声传播衰减 第2部分:一般计算方法》(ISO 9613-2:1996)中的户外声传播声功率计算方法,构建了声源声功率反推数学模型。利用某变压器周围大量测点现场实测数据,结合可靠度理论,识别并剔除了实测点中受相干声场影响较大的点,实现了换流变压器声功率反演计算,并对测点个数的选取进行了初步研究及优化。与其他声功率测量方法相比,该方法操作简单,对仪器设备要求较低,适用于复杂的声学环境,具有一定的应用前景。

Research on Genetic Algorithm of Transformer Sound Power Based on Reliability

Converter transformer is one of the most important noise sources in HVDC converter station,and its noise prediction accuracy directly affects the noise prediction model of the whole converter station in the later period,so it is particularly important to accurately obtain its sound power.According to ISO 9613-2 calculation method of outdoor sound propagation,the mathematical model of sound power backwardness of sound source is established.Based on the measured data of a large number of measured points around a transformer,combined with the theory of reliability,the points which are greatly affected by the coherent sound field in the measured points are identified and eliminated to realize the inversion calculation of the acoustic power of converter transformer,and the selection of the number of measured points is studied and optimized.Compared with other methods to measure sound power,this method is simple to operate and requires less equipment.It is suitable for complex acoustic environment and has a certain application prospect.