Large multidisciplinary design optimization applied to a permanent magnet synchronous generator

Article type: Research Article

Authors: Bazzo, T.P.M.^{a; b; *} | Gerbaud, L.^b | Kolzer, J.F.^a | Carlson, R.^a | Wurtz, F.^b

Affiliations: [a] GRUCAD, Department of Electrical Engineering, Federal University of Santa Catarina, Campus Reitor João David Ferreira Lima, Florianópolis, Brazil | [b] G2Elab, Grenoble Alpes University, Grenoble, France

Correspondence: [*] Corresponding author: T.P.M. Bazzo, Rua dos Robaletes 594, Jurerê Internacional, Florianópolis-SC, CEP 88053-503, Brazil. Tel.: +55 47 992073366; E-mail: thiago.bazzo@posgrad.ufsc.br.

Abstract: 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 obtained fast.

Keywords: Large optimization problem, multidisciplinary design optimization, permanent magnet synchronous generator design, sequential quadratic algorithm, wind power

DOI: 10.3233/JAE-172287

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 171-181, 2018