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Particle swarm and Box’s complex optimization methods to design linear tubular switched reluctance generators for wave energy conversion

Mendes, R. ; Calado, M.R.A. ; Mariano, S.J.P.S.

Swarm and Evolutionary Computation Vol. 28, Nº -, pp. 29 - 41, January, 2016.

ISSN (print): 2210-6502
ISSN (online):

Journal Impact Factor: 2,963 (in 2015)

Digital Object Identifier: 10.1016/j.swevo.2015.12.003

Abstract
This paper addresses the optimization of the linear switched reluctance generator with tubular topology to be applied in a sea wave energy conversion system. Two new algorithms to optimize the geometry of the generators are proposed. The algorithms are based on both particle swarm and Box´s complex optimization methods. The optimization procedures consist of a multidimensional optimal value search. First the initial variable vectors are specified throughout the feasible search space. Then, an iterative procedure is applied with the goal of finding the variable values that minimize the objective function. The proposed algorithms are suitable for the optimization problem considered since the objective function is highly nonlinear and not analytically defined, as evaluated using a finite element analysis based software, and show very good performance. A factor that characterizes the generation capabilities is also defined and the obtained optimized generators are compared.