Pareto swarm optimisation of high temperature superconducting generators

Issue title: Proceedings of the twelfth International Symposium on Interdisciplinary Electromagnetic, Mechanic and Biomedical Problems, ISEM Bad Gastein

Article type: Research Article

Authors: Cavaliere, Vincenzo^a | Cioffi, Marco^{a; *} | Formisano, Alessandro^b | Martone, Raffaele^b

Affiliations: [a] CRIS Consorzio Ricerche Innovative per il Sud, via Nuova delle Brecce 260, I-80147 Napoli, Italy | [b] Dipartimento di Ingegneria dell'Informazione, Seconda Università di Napoli, via Roma 29, I-81031 Aversa (CE), Italy

Correspondence: [*] Corresponding author. Tel.: +39 0812432040; Fax: +39 0812432840; E-mail: cioffi.marco@ansaldobreda.it

Abstract: High performance superconducting generators design requires the use of efficient optimisation methodologies. A global strategy for the multi-objectives optimisation of such machines is here proposed: the algorithm is based on the Pareto optima concept and adopts the Particle Swarm Optimisation (PSO) approach. The optimal design model is here applied to a high temperature superconducting synchronous generator. The implementation of PSO scheme is shown to be well suited for Pareto design problems.

Keywords: High temperature superconductor, optimisation, particle swarm, Pareto Set, generators

DOI: 10.3233/JAE-2007-874

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 25, no. 1-4, pp. 273-279, 2007