BISTATIC SCATTERING CHARACTERISTICS OF A WIND PARK TURBINE DERIVED FROM AN UAV-MOUNTED RECEIVER RECORDING C-BAND WEATHER RADAR SIGNALS

E. Çolak, B. V. Patel, A. Vyas, R. Zichner, M. Chandra
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引用次数: 1

Abstract

Abstract. As a result of increasing use of wind energy as a sustainable source of electricity, large Wind Parks with numerous Wind Turbines have been constructed. Wind turbines are extremely tall objects consisting of stationary and moving parts. The presence of wind turbines in the vicinity of weather radar systems can significantly impact their performance, leading to false alarms and errors in radar measurements. Accurate weather forecasting is challenging in this circumstance. Large Radar Cross Section (RCS) of wind turbines results in interference, also known asWind Turbine Clutter (WTC) orWind Turbine Interference (WTI), within and beyond the radar main beam, Multipath Interference (MPI), and phenomena referred to as ”shadowing effects” behind the wind turbines. These effects vary significantly in both time and space as a result of various wind turbine operations and meteorological conditions. It can often be difficult to distinguish wind turbine returns from weather-like signals. For the assessment of WTC or WTI, it is essential to understand the scattering properties of these wind turbines. In this paper, the bistatic scattering characteristics of a wind park turbine using a Unmanned Aerial Vehicle (UAV)-mounted receiver recording C-band weather radar signals were investigated by determining the average received power (PRxAvg (θs)) and RCS of wind turbine as a function of the scattering angle. For this purpose, the measurements and data provided by the German Meteorological Service (DWD, DeutscherWetterdienst) were utilised. The average received power as a function of scattering angle (θs) was calculated by using I-Q (In-phase and Quadrature) signals. Forward, back and side scattering of the calculated average received power were analysed separately. Moreover, Front-to-Back ratio, Front-to-Right side ratio and Front-to-Left side ratio were calculated and compared using forward, back and side scatter values. RCS values were also calculated depending on the scattering angle (θs) of the wind turbine.
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基于c波段气象雷达信号的机载接收机的风力发电机组双基地散射特性研究
摘要随着风能作为一种可持续电力来源的使用越来越多,已经建造了拥有大量风力涡轮机的大型风电场。风力涡轮机是由静止和移动部件组成的非常高的物体。天气雷达系统附近的风力涡轮机会严重影响其性能,导致雷达测量中的误报和错误。在这种情况下,准确的天气预报具有挑战性。风力涡轮机的大雷达截面(RCS)会导致雷达主波束内外的干扰,也称为风力涡轮机杂波(WTC)或风力涡轮机干扰(WTI)、多径干扰(MPI),以及风力涡轮机后面被称为“阴影效应”的现象。由于不同的风力涡轮机运行和气象条件,这些影响在时间和空间上都有显著差异。通常很难将风力涡轮机的返回与类似天气的信号区分开来。对于WTC或WTI的评估,了解这些风力涡轮机的散射特性至关重要。本文通过确定风电场涡轮机的平均接收功率(PRxAvg(θs))和RCS作为散射角的函数,研究了安装在无人机上的接收器记录C波段天气雷达信号的风电场涡轮机双基地散射特性。为此,使用了德国气象局(DWD,DeutscherWetterdienst)提供的测量和数据。通过使用I-Q(同相和正交)信号来计算作为散射角(θs)函数的平均接收功率。分别分析了计算的平均接收功率的前向、后向和侧向散射。此外,使用前、后和侧散射值计算并比较了前后比、前后比和前后比。RCS值也根据风力涡轮机的散射角(θs)进行计算。
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CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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