Research on Dynamic Capacity-increase Technique Based on Spatial Interpolation Methods of Transmission Line Meteorological Data

With the increase of grid-connected capacity of new energy sources, the problem of local grid limitation becomes more serious. Taking the transmission line of Jilin province as the research object, based on the meteorological data of some meteorological stations around a weak section, the data are analyzed. The inverse distance weight interpolation (IDW), ordinary Kriging interpolation (OK) and radial basis function interpolation (RBF) were used for spatial interpolation, and an estimation error was verified and analyzed statistically. The results show that the inverse distance weight interpolation (IDW) is more suitable for wind speed and direction data interpolation, and the two test indicators are smaller overall. The statistical error is taken into account in the interpolation results to provide more reliable input data for the dynamic capacity-increase technique.