A combination forecasting model based on IOWA operator for PV generation

This study presents a method as a method for predicting the output of photovoltaic power station using a combination forecasting model based on IOWA operator. The prediction experiment is conducted based on the operational data of 18kWp grid-connected PV plant in the Power Electronics Research Center of Huazhong University of Science and Technology. In this method, firstly, we employ the grey relational analysis to determine the meteorological environment factors with the highest impact on photovoltaic power generation. Secondly, IOWA combination forecasting model prediction based on each individual sample interval in the fitting accuracy of each point in time the level of empowerment in order to minimize the error sum of squares objective function is established for the combination forecasting model. Finally, we predict the output of photovoltaic power station. The experiment results have verified the validity of this method, and it can provide references for PV power station in generation management.