Application of WOA-based Interval Type-2 Fuzzy Logic System in Wind Power Prediction

This study proposes an optimized interval type-2 TSK FLS(IT2 TSK FLS) method based on an interval type-2 TSK fuzzy system and Whale optimization Algorithm (WOA) for short-term wind power prediction. Compared to the type-1 TSK fuzzy logic system method, IT2 TSK FLS method can model both intra-and inter-individual uncertainties simultaneously, and further improve the predictive performance of the model by using the WOA optimization algorithm to train the model’s antecedent and consequent parameters. The IT2 TSK FLS method based on WOA optimization algorithm was applied to a wind power time series prediction example in a specific region. The IT2 TSK FLS method was compared to the type-1 TSK FLS method and a different IT2 TSK FLS method based on the error back propagation algorithm under the same conditions. Experimental results showed that the proposed IT2 TSK FLS method based on whale optimization algorithm outperformed other methods, demonstrating its effectiveness.