An improved downscaling process using computational fluid dynamics for dynamic thermal rating optimisation on overhead lines

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.