ARMA Model of the Solar Power Station Based on Output Prediction

Because the capacity of photovoltaic power stations are becoming increasingly large and the net change in PV power station has uncertainty,it is necessary to predict the output of PV power station.This paper presents a method based on ARMA time series forecasting model PV power station.Combining the historical generation data and meteorological factors,this paper will use the ARMA model and the Markov chain model to predict the output of PV power station,and compare their accuracy.The results show that ARMA forecasting model has high accuracy,and it can satisfy the practical engineering applications.