As a clean and widely distributed of renewable source, wind power provides a solution to environmental issue. However, during windy season, the capability of transmission line is insufficient due to a thermal constraint which is based on conservative environmental conditions, resulting in significant amount of wind energy being discarded and thus increasing the operational costs of the power system. However, due to the wind cooling effect, the capacity of the line will also be higher during windy season. Dynamic Line Rating (DLR) utilizes more realistic weather conditions around the transmission line corridor through meteorological monitoring and the capacity of the line is more fully exploited. The result shows that DLR can greatly increase the consumption of wind energy and reduces the economic losses caused by wind curtailment.
KEYWORDS: Wind speed, Data modeling, 3D modeling, Meteorology, Data acquisition, Land cover, Satellites, Computational fluid dynamics, Point clouds, Earth observing sensors
The decarbonization of power system resulted significant change on the power transmission requirement. Renewable generation replacing traditional generation has also modified the power system network flow significantly. To meet the power transmission requirement, this article focuses on the potential usage of dynamic thermal rating for overhead lines which can increase the transmission line capacity without building new transmission corridors. Traditional method for DTR evaluation lacks the detailed wind distribution including direction and speed, especially when terrain condition is complicated where micro climate exists locally. This work is to address this challenge by perform detailed computational fluid dynamic simulation taking into consideration of complex terrain data. The terrain information is generated from the ERA5-land data and 3D model is therefore constructed within the CAD tool. Sensitivity analysis is performed to demonstrate the satisfactory result accuracy. Not only the wind speed but also the wind direction is computed, and results are analyzed. It is identified that with the proposed computational model, after terrain data is included, the flow speed in various incoming direction can be estimated, therefore support the further improvement on the DTR decisions.
Dynamic Thermal Rating (DTR) can effectively increase the overhead line ampacity by accurately evaluate the temperature and wind speed surrounding it. This is critical especially when more and more renewable sources are connected to the power network, and the new power flow distribution imposed significant pressure to the existing electricity network. This article focuses on the method of computing the fluid flow speed surrounding Overhead Line (OHL) conductors. Turbulent flow is taken into consideration by three-dimensional finite element analysis for the first time. The results are summarized, and it is proved that the model with consideration of turbulent flow gives better estimation of the wind speed distribution therefore thermal dissipation. It is concluded that this detailed modeling can help to improve the accuracy of DTR determination for OHL conductors.
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