Dynamic line rating is a technology that allows for the rating of electrical conductors to be calculated based on local weather conditions rather than using “worst-case” assumptions of weather conditions. The static ratings are typically based on weather conditions that are conservative in nature, and thus dynamic line rating may provide room to increase the current capacity. The locally resolved weather conditions estimate conditions more accurately near the transmission lines, accounting for terrain such as nearby hills. One way to estimate the local weather conditions is through the use of computational fluid dynamics. The results of a wind field simulation can be coupled with sparsely located weather stations to provide an accurate assessment of the wind speeds along the path of the conductor. The wind field simulations are calculated using a steady-state Reynolds-averaged Navier–Stokes model. These results, along with local solar irradiance measurements, can be used to provide estimates of the steady-state ampacity with the standard IEEE equations. An advanced test case for this process involves performing these simulations in a complex terrain: Hells Canyon, the deepest river gorge in North America. The results show that by using weather-based sensors without considering localized wind conditions, the available ampacity may be over-predicted significantly.

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使用风模拟的计算流体动力学结合天气数据来计算动态线路额定值

动态线路额定值是一种技术，允许根据当地天气条件而不是使用天气条件的“最坏情况”假设来计算电导体的额定值。静态额定值通常基于本质上保守的天气条件，因此动态线路额定值可以提供增加当前容量的空间。局部解析的天气条件更准确地估计传输线附近的条件，考虑附近山丘等地形。估计当地天气状况的一种方法是使用计算流体动力学。风场模拟的结果可以与位置稀疏的气象站相结合，以提供对沿导体路径风速的准确评估。使用稳态雷诺平均 Navier-Stokes 模型计算风场模拟。这些结果以及局部太阳辐照度测量值可用于通过标准 IEEE 方程估计稳态载流量。此过程的高级测试用例涉及在复杂地形中执行这些模拟：地狱峡谷，北美最深的河流峡谷。结果表明，通过使用基于天气的传感器而不考虑局部风况，可用载流量可能会显着高估。此过程的高级测试用例涉及在复杂地形中执行这些模拟：地狱峡谷，北美最深的河流峡谷。结果表明，通过使用基于天气的传感器而不考虑局部风况，可用载流量可能会显着高估。此过程的高级测试用例涉及在复杂地形中执行这些模拟：地狱峡谷，北美最深的河流峡谷。结果表明，通过使用基于天气的传感器而不考虑局部风况，可用载流量可能会显着高估。