OPTIMAL DESIGN ALGORITHM OF DIRECT-DRIVEN PM WIND GENERATOR AND KNOWLEDGE-BASED OPTIMAL DESIGN METHOD FOR THE SAME

摘要

The present invention relates to the development of an optimization algorithm for a permanent magnet wind turbine and a knowledge-based optimal design method. The finite element method and the optimization algorithm are used to perform the optimal design of a direct drive surface-attached permanent magnet synchronous generator for wind turbines. Optimal design was performed. In particular, as a method to consider both the operating wind speed range, the Rayleigh function, which can be applied even if only the average wind speed of the region where the generator is installed, is used as the wind speed probability density function, thereby making the annual energy production (AEP) We developed the estimation technique and proposed the SPMSG optimal design technique for maximum AEP. On the other hand, in order to design more efficient and accurate wind power generators that require excessive computational time, we combined optimization algorithms such as genetic algorithm, parallel search computing MADS, hybrid algorithm, Memetic algorithm, and so on. Therefore, the optimal design model using MADS and Memetic Algorithm improved 49% and 55% in the time required compared to the optimal design model using parallel distributed genetic algorithm.