Intelligent Prediction of Cloud Movement Path

Le résumé fourni par la source

Due to the proportion of solar power generation in the power grid gradual increasing, weather forecasting plays an important role in the operation of power grid. In the case of a solar eclipse, the solar power generation will be influenced severely. In order to maintain grid stability, grid operations can precisely calculate the solar shading situation by the location and time of the solar eclipse, and then prepare in advance to reduce the impact of grid ramping event. The purpose of this paper is to predict the movement path of cloud blocks and estimate the solar shading by cloud blocks, and to estimate the variation of solar irradiance through Long Short-Term Memory (LSTM) network in order to provide dispatchers or Energy Management System (EMS) to effectively respond to the impact of cloud blocks on the power grid in advance.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.