Weather Factors and Prediction Method for “100 Hz” Pure Tone of UHV AC Transmission Lines

LI Pengfei; ZHANG Yemao; ZHANG Tong; DAI Kejie; LIU Yifan; ZHAO Zhimin

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Weather Factors and Prediction Method for “100 Hz” Pure Tone of UHV AC Transmission Lines

更新时间：2025-12-08

- Weather Factors and Prediction Method for “100 Hz” Pure Tone of UHV AC Transmission Lines
- Vol. 45, Issue 9, Pages: 2971-2979(2019)
- 作者机构：
  
  1. 平顶山学院电气与机械工程学院
  2. 中国电力科学研究院有限公司电网环境保护国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：30 September 2019，
  
  Published：2019
- 稿件说明：
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LI Pengfei, ZHANG Yemao, ZHANG Tong, et al. Weather Factors and Prediction Method for “100 Hz” Pure Tone of UHV AC Transmission Lines[J]. 2019, 45(9): 2971-2979.
DOI：

LI Pengfei, ZHANG Yemao, ZHANG Tong, et al. Weather Factors and Prediction Method for “100 Hz” Pure Tone of UHV AC Transmission Lines[J]. 2019, 45(9): 2971-2979. DOI：

摘要

交流输电线路产生的可听噪声包含宽频噪声和"100 Hz"纯声

大地的反射作用使纯声产生驻波

传播更远。该文研究了天气因素对特高压输电线路纯声的影响

并提出基于天气因素的纯声预测模型。利用特高压输电线路电磁环境长期观测站监测的纯声及天气参数

分析了降雨量、大气压、风速、温度、湿度与纯声的相关性。利用基于LM（Levenberg-Marquardt）算法优化的多层感知机建立纯声在有雨天气和无雨天气下的预测模型

并基于选定监测站的数据进行模型训练和预测。结果表明:天气因素对纯声的影响权重由高至低依次为降雨量、风速、大气压、温度和湿度。建立以是否有雨为特征的两类预测模型

得到预测结果的均方根误差分别为2.032d B和3.363 6 dB

实现了相对准确的预测。研究结果可为特高压输电线路"100 Hz"纯声的抑制提供技术支撑。

Abstract

The audible noise generated by UHV AC transmission lines includes broadband noise and "100 Hz" pure tone. Because of the reflection on the earth

the standing wave of the pure tone is generated. We investigated the influences of weather factors on the pure tone of UHV transmission lines

and proposed a pure tone prediction model based on weather factors. The correlation between rainfall

temperature

wind speed

atmospheric pressure

humidity and pure tone was analyzed by using the pure tone and weather parameters monitored by a long-term observation station for the electromagnetic environment of UHV transmission lines. Two prediction models of pure tone in rainy and rainless weather were established by the multi-layer perceptron and LM（Levenberg-Marquardt） algorithm. The models were trained by the data of the selected monitoring station. The prediction results show that the influential weight to the pure sound from high to low is rainfall

wind speed

atmospheric pressure

temperature

and humidity. The root mean square errors of the prediction results obtained by two prediction models are 2.032 dB and 3.363 6 dB

respectively. The results can provide a technical reference for the suppression of "100 Hz" pure sound of UHV AC transmission lines.

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