Research on Meteorological Modeling Point Selection Method for Distributed PV Power Prediction

Abstract

This paper has proposed a distributed PV meteorological modeling point selection method based on geographic grid division, aiming to improve the distributed PV power prediction accuracy. Firstly, the geographic grid division is carried out, and data such as installed capacity distribution, light resource assessment and geographic topography are input. Then the geographic grid grouping aggregation algorithm is designed to establish the aggregation relationship on power prediction for distributed power plants. Finally, the meteorological modeling point location is determined according to the evaluation score in the clustering group, and the meteorological and algorithmic modeling for distributed PV power prediction are carried out.