PSO Algorithm Assisted by Co-Kriging and Its Application to Optimal Transposition Design of Power Transformer Winding for the Reduction of Circulating Current Loss

摘要

A numerically more efficient and accurate co-Kriging model is developed, and incorporated into particle swarm optimization to be applied to optimal design of electromagnetic devices. The sampling points in the co-Kriging consist of a few expensive data and many cheap data to save the computational efforts while increasing modeling accuracy. The proposed algorithm is validated through an analytic example, and applied to an optimal transposition design of a power transformer to minimize its circulating current loss.