This study investigates the impact of wind velocity averaging on Dynamic Thermal Rating (DTR) calculations. It is based on a high-temporal-resolution (1 second) wind measurements obtained from a transmission line in Slovenia, Europe. Wind speed and direction variability are analysed, and two averaging methods, namely vector averaging, where velocity is averaged as vector, and hybrid averaging, where speed is averaged as scalar, are employed. DTR calculations are performed on both high-resolution data and averaged data (5 minute averaging window). It is demonstrated that averaging has a significant effect on both Nusselt number and ampacity, and the effect exhibits a strong angular dependency on the relative angle of the wind to the line. Therefore, two limit cases are studied: in the case of parallel wind, averaged data underestimates the ampacity, and there is a significant amount of cases where the underestimation is larger than 10 %. In the case of perpendicular wind, the two averaging methods affect the results in different ways, but both result in a substantial amount of cases where ampacity is overestimated, potentially leading to unsafe operation. The main takeaway of the study is that averaging wind velocity has a significant impact on DTR results, and special emphasis should be given to the averaging method, as different methods affect the results in different ways.
翻译:本研究探讨了风速平均化对动态热额定值(DTR)计算的影响。研究基于欧洲斯洛文尼亚一条输电线路获取的高时间分辨率(1秒)风速测量数据。分析了风速与风向的变异性,并采用两种平均化方法:矢量平均法(将速度作为矢量进行平均)和混合平均法(将速度作为标量进行平均)。分别对高分辨率数据和平均化数据(5分钟平均窗口)进行了DTR计算。研究表明,平均化对努塞尔数和载流量均有显著影响,且该影响与风向相对于线路的夹角存在强烈的角度依赖性。因此,本研究重点分析了两种极限情况:在平行风情况下,平均化数据会低估载流量,且存在大量低估幅度超过10%的案例;在垂直风情况下,两种平均化方法以不同方式影响计算结果,但均导致大量载流量被高估的情况,可能引发运行安全隐患。本研究的核心结论是:风速平均化对DTR计算结果具有显著影响,应特别关注平均化方法的选择,因为不同方法会以不同方式影响计算结果。