HU Jingzhu, LIAO Qingfen, YAN Yang, et al. Characteristics Analysis and Prediction Model of Noise in Super High Voltage Substation[J]. High voltageapparatus, 2017, 53(2): 32-38.
HU Jingzhu, LIAO Qingfen, YAN Yang, et al. Characteristics Analysis and Prediction Model of Noise in Super High Voltage Substation[J]. High voltageapparatus, 2017, 53(2): 32-38. DOI: 10.13296/j.1001-1609.hva.2017.02.006.
Characteristics Analysis and Prediction Model of Noise in Super High Voltage Substation
To accurately calculate noise distribution in a super high-voltage substation and evaluate the impact on peripheral environment
acoustic models of transformer and reactor are established based on the analysis of noise characteristics in the substation. The analysis shows that the cooling fan has a great influence on transformer noise characteristics
and the asymmetry of the transformer and reactor structures will affect the noise distribution.Thus
a method is proposed to partially build acoustic model
in which each emission surface of transformer and reactor is divided into several parts and each part is equivalent to a point source. A multi-point source model of transformer and reactor is built based on the sound intensity method. Considering the outdoor point source propagation attenuation theory and the substation environment
a noise attenuation prediction model is built. Comparison between the simulation results and the measured data shows that the proposed multi-point source model and algorithm can accurately predict the noise value anywhere in the substation with higher accuracy than the planar source model.