Study And Application In Wind Power Forecasting Of Hybrid Model Based On GA-APSO And CS Optimization Algorithm

Wind energy has been part of the fastest growing renewable energy sources that is clean and pollution-free,which has been increasingly gaining global attention,and wind speed forecasting plays a vital role in the wind energy field,however,it has been proven to be a challenging task owing to the effect of various meteorological factors.This paper proposes two novel hybrid forecasting model,the first kind of hybrid forecasting model based on EEMD and GA-APSO algorithm,which can make a preprocess for the original data,the developed model applies GA-APSO algorithm to optimize the parameters of the WNN model,then employs GA-APSO-WNN model to forecast real data;The second kind of hybrid forecasting model based on SDA and CS algorithm,which can effectively make a preprocess for the original data,this developed model applies CS algorithm to optimize the parameters of the WNN model,then employs CS-WNN model to forecast real data.The proposed hybrid method is subsequently examined on the wind farms of eastern China and the forecasting performance shows that the proposed model outperforms conventional single models(for example,support vector machine,radical basis function,and fuzzy neural network)and other hybrid models,and its availability is further verified by the paired-sample T tests.