Research on audible noise of ultra-high voltage direct current (UHV DC) transmission lines with a digital twin

Digital Twin Pub Date : 2022-06-20 DOI:10.12688/digitaltwin.17607.1

Penghui Zhao, Linjun Fu, Haiwen Yuan, Yingyi Liu, Luxing Zhao

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Abstract

Much attention has been paid to audible noise in the design of ultra-high voltage (UHV) direct current (DC) transmission lines because of its negative impact on residents' lives. In order to analyze audible noise, shorten the research period, and reduce experimental costs, firstly, a digital twin model for audible noise of UHV DC transmission lines is proposed. Then, the model’s structure and related principles are explained in detail. Finally, an application, as a research paradigm, uses digital twin to study the source distribution on transmission lines and influencing factors of audible noise. The A-weighted sound level of audible noise on the ground is calculated and compared with the data obtained by the BPA empirical formula. The results show that the position of the sound source tends to have uniform distribution and the intensity tends to have Gaussian distribution, while temperature and relative humidity exert obvious effects on audible noise, illustrating the great value of digital twin technology in the study of audible noise. This paper not only provides a new method for audible noise research, but also provides a reference for the design of UHV DC transmission lines.

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数字双线特高压直流(UHV DC)线路可听噪声研究

在特高压直流输电线路设计中，可听噪声对居民生活的影响一直是人们关注的问题。为了分析可听噪声，缩短研究周期，降低实验成本，首先提出了特高压直流输电线路可听噪声的数字孪生模型。然后，详细阐述了模型的结构和相关原理。最后，应用数字孪生模型作为研究范式，研究了传输线上的声源分布和可听噪声的影响因素。计算了地面可听噪声的a加权声级，并与BPA经验公式所得数据进行了比较。结果表明，声源位置趋于均匀分布，声源强度趋于高斯分布，而温度和相对湿度对可听噪声的影响较为明显，说明数字孪生技术在可听噪声研究中的重要价值。本文不仅为可听噪声的研究提供了一种新的方法，也为特高压直流输电线路的设计提供了参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Digital Twin digital twin technologies-

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期刊介绍： Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.  The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas:  ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.