Wind and PV integration to slow down new conventional power plants´ development in China

In this paper, a methodology based on probability theory for estimating the capacity credit of Wind and PV is presented and applied for the power supply system of China. The spatial dispersion of wind and PV capacity is taken into consideration using timeseries of wind and solar data in the whole territory reproduced by the systematic application of the mesoscale Numerical Weather Prediction (NWP) model COAMPS (Coupled Ocean/Atmosphere Mesoscale Prediction System). Results show that the large size of the power system of China contributes beneficially to the capacity credit of wind and PV capacity and conventional capacity substitution.