Advanced dynamic thermal rating system using numerical weather prediction

社会对电力的需求持续增长，但环境、监管和经济方面的制约因素往往阻碍了新发电厂和输电线路的建设。工程师、设备制造商和监管机构现在面临的挑战是，如何最大限度地提高现有电力线路的容量，这是从最大允许电力流量中得出的。限制这种流动的最重要因素是热，因为热限制电路的过载可能导致物理故障。它通常基于保守的天气假设，以确保满足安全性和可靠性要求。因此，传输线通常未得到充分利用。与此同时，电路故障的风险并未完全消除，因为这些假设虽然保守，但并不代表真正的最坏情况。该项目将开发一个基于中尺度数值天气预报（NWP）模型的输电线路动态评级系统，该模型最近已普遍可用，并且可以用相对较少的计算资源运行。这些模型可以提供比任何观测或测量网络更详细的信息。使用这种模型输出的评级系统将提供相关的气象参数，其空间分辨率与架空线路本身的跨度相当。除了更好地利用现有的输电线路外，拟议的系统还将提供一些其他的

Society's demand for electricity continues to grow, yet environmental, regulatory and economic constraints often preclude the construction of new power plants and transmission lines. The challenge now faced by engineers, equipment manufacturers, and regulatory agencies is to find ways to maximize the capacity of existing power lines, derived from the maximum allowable flow of power. The most important factor limiting this flow is thermal, as overloading of thermally limited circuits can result in physical failures. It is typically based on conservative weather assumptions to ensure that safety and reliability requirements are met. As a result, transmission lines are generally underutilized. At the same time, the risk of circuit failure is not completely eliminated, because the assumptions, while conservative, do not represent a true worst-case scenario. This project will develop a system for dynamic rating of transmission lines based on mesoscale Numerical Weather Prediction (NWP) models, that have recently become commonly available and that can be run with relatively modest computing resources. These models can provide much more detailed information than any observation or measurement network. Rating systems using outputs of such models will provide relevant meteorological parameters with a spatial resolution comparable to the spans of overhead lines themselves. Besides better utilization of existing transmission lines, the proposed system will provide a number of other