李鹏飞, 张业茂, 路遥, 刘健犇, 尹凯阳. 高海拔地区750 kV输电线路可听噪声环境影响分析及预测模型研究[J]. 高电压技术, 2024, 50(12): 5648-5657. DOI: 10.13336/j.1003-6520.hve.20231887
引用本文: 李鹏飞, 张业茂, 路遥, 刘健犇, 尹凯阳. 高海拔地区750 kV输电线路可听噪声环境影响分析及预测模型研究[J]. 高电压技术, 2024, 50(12): 5648-5657. DOI: 10.13336/j.1003-6520.hve.20231887
LI Pengfei, ZHANG Yemao, LU Yao, LIU Jianben, YIN Kaiyang. Environmental Impact Analysis and Prediction Method of Audible Noise on 750 kV Transmission Lines in High Altitude Areas[J]. High Voltage Engineering, 2024, 50(12): 5648-5657. DOI: 10.13336/j.1003-6520.hve.20231887
Citation: LI Pengfei, ZHANG Yemao, LU Yao, LIU Jianben, YIN Kaiyang. Environmental Impact Analysis and Prediction Method of Audible Noise on 750 kV Transmission Lines in High Altitude Areas[J]. High Voltage Engineering, 2024, 50(12): 5648-5657. DOI: 10.13336/j.1003-6520.hve.20231887

高海拔地区750 kV输电线路可听噪声环境影响分析及预测模型研究

Environmental Impact Analysis and Prediction Method of Audible Noise on 750 kV Transmission Lines in High Altitude Areas

  • 摘要: 为了建设环境友好型高海拔超、特高压交流输电线路,开展可听噪声长期观测研究具有重要意义。坏天气下采集得到的可听噪声掺杂着风声、雨声、降雪声等多种环境噪声,很难揭示可听噪声的影响规律。因此,该文利用官亭电磁环境观测站为期7个月的测试结果,开展好天气下可听噪声环境影响规律分析及其预测模型研究。研究结果表明:(1)好天气下输电线可听噪声与环境温度、风速具有较强的正相关性。特别地,当风速 < 0.7 m/s时,风速对可听噪声的影响不大;当风速 > 0.7 m/s时,随着风速的增加,可听噪声具有增大趋势。(2)由于凝露和凝霜的原因,早晨可听噪声的上升超前于温度和风速的增大,表现出可听噪声与环境因素变化不同步的现象。(3)提出的卷积神经网络-长短期记忆网络预测模型在3个季节的可听噪声预测均方根误差分别为1.934 3、1.221 5、1.248 8,平均绝对误差分别为1.425 0、0.910 0、0.942 5,实现了较为准确的预测。

     

    Abstract: To build environment-friendly high-altitude UHV AC transmission lines, it is of great significance to study the long-term audible noise (AN) observation data of the completed transmission lines. The AN in bad weather is mixed with wind, rain, snowfall, and other factors, and it is difficult to reveal the influence law of AN. Therefore, this paper uses the test results of the Guanting electromagnetic environment observation station for seven months to analyze the environmental influence law of AN and research its prediction model in fair weather. The experimental results show that: (1) AN has a strong positive correlation with ambient temperature and wind speed in fair weather. In particular, when the wind speed is lower than 2.2 m/s, the wind speed has a negligible effect on the audible noise; when the wind speed is greater than 2.2 m/s, the audible noise has an increasing trend with the increase of the wind speed. (2) Due to condensation and frost, the rise of AN in the morning is ahead of the increase in temperature and wind speed, showing the phenomenon that AN is not synchronized with the change of environmental factors. (3) The proposed CNN-LSTM prediction model's RMSE in three seasons is 1.934 3, 1.221 5, 1.248 8, and the MAE is 1.425 0, 0.910 0, 0.942 5, respectively, which achieves a more accurate prediction.

     

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