Forecasting Model for PV System Economy based on Multiple Nonlinear Regression Analysis
Accurate prediction of power generation and economy of photovoltaic system is the key means to evaluate the stable operation of distributed photovoltaic system on power grid.A forecasting model for PV system economy is built.This model,which includes an orthogonal experiment method and a multiple nonlinear regression analysis method,is used to obtain the change relationship between the influencing factors of PV power generation and economy.The accuracy of the model is checked by the residual analysis method and ratio fitting analysis method.The results show that the relationship between PV module inclination,and among these factors that include pollution coefficient,front and back spacing,energy storage capacity and the economic performance of the system is linear,exponential,logarithmic and linear respectively.
万方数据
维普
