Characterization Method for Roughness Coefficient of HVDC Conductors Under Rainfall Conditions

LI Xiaoyun; MA Aiqing; ZHANG Chengwu; XU Jinshuai

doi:10.13296/j.1001-1609.hva.2026.02.021

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Characterization Method for Roughness Coefficient of HVDC Conductors Under Rainfall Conditions

Research & Analysis | 更新时间：2026-03-16

- Characterization Method for Roughness Coefficient of HVDC Conductors Under Rainfall Conditions
- High Voltage Apparatus Vol. 62, Issue 2, Pages: 168-175(2026)
- 作者机构：
  
  上海电力大学电气工程学院，上海 200090
- 作者简介：
- 基金信息：
  
  Shanghai Natural Science Foundation(19ZR1420600)
- DOI：10.13296/j.1001-1609.hva.2026.02.021
  CLC：
- Received：08 July 2025，
  
  Revised：2025-10-21，
  
  Published：16 February 2026
- 稿件说明：
移动端阅览
LI Xiaoyun, MA Aiqing, ZHANG Chengwu, et al. Characterization Method for Roughness Coefficient of HVDC Conductors Under Rainfall Conditions[J]. High Voltage Apparatus, 2026, 62(2): 168-175.
DOI：

LI Xiaoyun, MA Aiqing, ZHANG Chengwu, et al. Characterization Method for Roughness Coefficient of HVDC Conductors Under Rainfall Conditions[J]. High Voltage Apparatus, 2026, 62(2): 168-175. DOI： 10.13296/j.1001-1609.hva.2026.02.021.

摘要

导线表面的粗糙系数m是影响起晕场强预估的关键因素之一。在降雨条件下，高压直流输电线路表面极易附着雨滴，导线表面状况发生改变，而导线表面状况的改变会直接影响Peek公式中粗糙系数m的大小，导致预估的起晕场强与实际值误差较大。目前降雨条件下粗糙系数m的取值没有统一的标准，文中通过引入形变系数W与分布系数f表征雨滴的大小以及分布密度对起晕场强的影响，利用起晕场强与二者之间的变化规律，建立了形变系数、分布系数与粗糙系数之间的关联关系，得到不同降雨程度下粗糙系数m的表达式，从而修正Peek公式，通过建立附着雨滴的高压直流导线的计算模型，与仿真得到的电晕笼笼体场强值相比较，验证方案的可行性。结果表明：电晕笼笼体电场强度计算值与基于有限元法获得的场强值误差小于8%。确定了不同降雨条件下的粗糙系数后，修正后的Peek公式可应用于降雨条件下高压直流导线起晕场强的预估，简单准确、便于实现。

Abstract

The roughness coefficient m of the conductor surface is one of the key factors affecting the estimation of corona inception field strength. Under the rainfall conditions

raindrops are easily attached to the surface of highvoltage direct current transmission lines

and the surface condition of the conductor has changed. The change in the surface condition of the conductors directly affects the roughness coefficient m in the Peek formula

resulting in a significant error between the estimated corona inception field strength and the actual value. Under present rainfall conditions

there is no unified standard for the value of roughness coefficient m. In this paper the deformation coefficient W and distribution coefficient f are introduced to characterize the influence of raindrop magnitude and distribution density on the corona inception field strength. The correlation relationship among the deformation coefficient

distribution coefficient and roughness coefficient is set up by utilizing the variation law between the corona inception field strength and those two factors. The expression of roughness coefficient m under different rainfall levels is obtained

and the Peek formula is thus modified. The feasibility of the scheme is verified by establishing a calculation model for the high-voltage DC conductor with attached raindrops and comparing it with the simulated field strength values of the corona cage. The results show that the error between the calculated electric field strength of the corona cage and the field strength obtained based on the finite element method is less than 8%. After determining the roughness coefficient under different rainfall conditions

the modified Peek formula can be applied to estimate the corona inception field strength of HVDC conductors under rainfall conditions

which is simple

accurate and easy to implement.

关键词

Keywords

references

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