风力涡轮机对ATC雷达的影响——一种评估方法

C. Neumann, Markus Steck
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引用次数: 0

摘要

风力机回波信号对不同类型雷达的影响已经在世界范围内进行了研究,并取得了较好的成果。然而,缺乏实际的方法来计算雷达站附近规划的风力发电场的接受度。受委托进行可接受性证明的官员往往根据一些处理“干扰区假设”的简单规则拒绝WT项目请求,大多没有经过实际验证。详细阐述定量评估的一个主要困难是需要了解雷达内部的细节,这可能对雷达对小波干扰的灵敏度有很大影响。因此,在不了解雷达信号处理机制的情况下,几乎不可能预测由此类干扰引起的作战退化。本文提出的计算工具在了解与天线、波形、信号和数据处理相关的某些雷达关键参数的情况下,处理对空中交通管制(ATC)雷达的小波影响评估。这些关键参数可以由雷达制造商提供给官员,以便进行定量计算。为此,利用德国ASR-S雷达的参数,建立了预测WT干扰的定量评估工具。考虑到WT类型的特定反射率特征和景观中的WT位置,干扰结果表示为沿风电场上方或附近的任何飞机路径的每个受影响区域分位数的检测概率。该工具已通过实际雷达测量验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wind Turbine impact to ATC radars - an assessment approach
The impact of Wind Turbine (WT) echo signals on diverse types of radars has been studied world-wide and with good success understanding the interference mechanisms in principal. However, there is a lack of practical approaches to calculate the acceptance for planned wind parks near radar stations. The officials commissioned with acceptability proving often refuse WT project request based on some simple rules dealing with “disturbance area assumptions”, mostly without real verification. One principal difficulty for elaboration of quantitative assessments is the need to know details about the radar internals, which may have a large impact to the radar sensitivity regarding WT interferences. So, without knowledge of the radar signal processing mechanisms, it is nearly impossible to predict the operational degradation caused by such disturbances. The calculation tool presented here deals with WT impact assessments on Air Traffic Control (ATC) radars under knowledge of certain radar key parameters related to antenna, waveforms, signal- and data-processing. Those key parameters may be delivered by the radar manufacturer to the officials to enable the quantitative calculations. For this purpose, a quantitative assessment tool predicting WT interferences was set up using the parameters of the German ASR-S radar. The interference results are expressed as detection probability per influenced area quantile along any aircraft path over or nearby wind farms, considering WT-type specific reflectivity characteristics and the WT emplacements in the landscape. The tool has been validated with real radar measurements.
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