Design of Wind Power Generation System Based on Interval Optimization

According to the analysis of the mechanism model of the doubly fed variable speed constant frequency wind power generation system, it can be concluded that the system is a complex system with nonlinearity, uncertainty, and constraints. Therefore, based on the above characteristics, this paper uses predictive control method to control it, and uses interval optimization theory to solve the optimal control quantity in rolling optimization. Based on the mathematical transformation model, develop a nonlinear interval number optimization algorithm with certain engineering practicality. The main difficulty to solve is the low efficiency caused by two-layer nested optimization, and further improve the real-time performance of the algorithm by adopting parallel computing strategy on the basis of designing the solution algorithm. The results show that compared with classical big data mining technology and traditional data analysis methods, interval optimization technology have better accuracy and convergence in feature recognition, and can judge feature recognition.