Impact of Snow Weather on PV Power Generation and Improvement of Power Forecasting

Abstract

Snowfall has a significant impact on photovoltaic (PV) power prediction. The sudden drop of PV power output directly affects the power balance and threatens the safety and stability of power system. Thus it is of great engineering value to improve the accuracy of PV power prediction on snowy days. In this paper, the influence of snowfall and snowmelt process on the accuracy of PV power prediction is studied by analyzing the actual power, predicted power and meteorological data. Then a power prediction correction method based on irradiance loss model is proposed. Analysis results show that the proposed correction model can effectively reduce the maximum deviation of power prediction and improve the accuracy of PV power prediction with high stability and strong versatility.