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Exposure Modelling of Extremely Low-Frequency Magnetic Fields from Overhead Power Lines and Its Validation by Measurements

机译:架空电力线极低频磁场的暴露模型及其测量验证

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摘要

A three-dimensional model for calculating long term exposure to extremely low-frequency magnetic fields from high-voltage overhead power lines is presented, as well as its validation by measurements. For the validation, the model was applied to two different high-voltage overhead power lines in Iffwil and Wiler (Switzerland). In order to capture the daily and seasonal variations, each measurement was taken for 48 h and the measurements were carried out six times at each site, at intervals of approximately two months, between January and December 2015. During each measurement, a lateral transect of the magnetic flux density was determined in the middle of a span from nine measurement points in the range of ±80 m. The technical data of both the lines as well as the load flow data during the measurement periods were provided by the grid operators. These data were used to calculate 48 h averages of the absolute value of the magnetic flux density and compared with modelled values. The highest 48 h average was 1.66 µT (centre of the line in Iffwil); the lowest 48 h average was 22 nT (80 m distance from the centre line in Iffwil). On average, the magnetic flux density was overestimated by 2% (standard deviation: 9%) in Iffwil and underestimated by 1% (8%) in Wiler. Sensitivity analyses showed that the uncertainty is mainly driven by errors in the coordinates and height data. In particular, for predictions near the centre of the line, an accurate digital terrain model is critical.
机译:提出了一种三维模型,用于计算高压架空电力线长期暴露于极低频磁场中的情况,并通过测量进行了验证。为了进行验证,该模型被应用于Iffwil和Wiler(瑞士)的两条不同的高压架空电力线。为了捕获每日和季节性变化,每次测量进行了48小时,并且在2015年1月至2015年12月之间以大约两个月的间隔在每个站点进行了六次测量。在跨度的中间,从±80 m范围内的9个测量点确定磁通密度。电网运营商提供了两条线路的技术数据以及测量期间的潮流数据。这些数据用于计算48 h磁通密度绝对值的平均值,并与模型值进行比较。 48小时的最高平均值为1.66 µT(Iffwil线的中心);最低的48小时平均值为22 nT(距Iffwil中心线80 m的距离)。平均而言,Iffwil的磁通密度高估了2%(标准偏差:9%),而Wiler的磁通密度低估了1%(8%)。敏感性分析表明,不确定性主要是由坐标和高度数据中的误差引起的。特别地,对于线中心附近的预测,准确的数字地形模型至关重要。

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