Regional Wind Power Forecasting System for Inner Mongolia Power Grid
Changsheng Zhu · Power System Technology · 2010
Distributed architecture is adopted in regional wind power prediction system for Inner Mongolia Power Grid,which consists of numerical weather prediction system and wind power forecasting system. The wind power forecasting is based on numerical prediction mode and statistical forecasting model of wind power. Using MM5 mesosale numerical whether prediction mode,the rolling forecasting of wind speeds,wind directions,temperatures,humidity and air pressure at different altitudes in future 48 hours as well as precipitation in the regions where wind farms locate is performed,and the horizontal resolution of computational grid is 9 km. According to the theory of analogy model and adopting artificial neural network,a regional wind power forecasting model is built,thus the short-term and ultra-short-term wind power forecasting for single wind farm and wind farm groups within a particular region as well as for whole power grid are implemented.