Large multidisciplinary design optimization applied to a permanent magnet synchronous generator

The present paper deals with a large multidisciplinary design optimization (MDO) applied to a wind turbine permanent magnet synchronous generator (PMSG). The multidisciplinary nature of the model allows reliable results, but it demands high complexity and a large number of variables. Furthermore, t o calculate the wind turbine energy production it is necessary to include several operating points in the model, increasing even more the dimension of the problem. To deal with this large optimization problem, the sequential quadratic programming (SQP) algorithm has been chosen. The results show that, besides the model complexity, the solution is obtained fast.