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.

Pareto Swarm Optimisation of High Temperature Superconducting Generators

FORMISANO, Alessandro;MARTONE, Raffaele
2007

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/230286
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