Large Multidisciplinary Design Optimization Applied to a Permanent Magnet Synchronous Generator
Résumé
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, to 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 fast.