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Evolution of the passive harmonic filters optimization problem in industrial power systems

Cabral-Leite, Jandecy and Pérez-Abril, Ignacio and Santos-Azevedo, Manoel Socorro and de Lima-Tostes, Maria Emilia and Holanda-Bezerra, Ubiratan (2014) Evolution of the passive harmonic filters optimization problem in industrial power systems. Dyna; Vol. 81, núm. 188 (2014); 67-74 DYNA; Vol. 81, núm. 188 (2014); 67-74 2346-2183 0012-7353 .

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URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...

Resumen

Several authors have treated the optimization of passive filters in electric distribution systems. Optimization methods like: sequential quadratic programming (SQP), simulated annealing (SA), differential evolution (DE), artificial neural networks (ANN), particle swarm optimization (PSO), genetic algorithm (GA), etc., have been employed for optimizing certain configurations of passive filters. These optimization methods have been employed to solve several formulations of the problem of the project of filters. These formulations can be classified in: formulations of one or several objectives. The objective of the present work is to show the evolution of the formulation of this problem in the lasts years respect to the objective functions and constraints used. This analysis shows how the formulations employed have been upgraded from single-objective to multi-objective formulations to achieve a better representation of this complex problem.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:harmonics, passive filters, optimization.
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:46760
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :04 Febrero 2015 17:48
Ultima modificación:04 Febrero 2015 17:48
Ultima modificación:04 Febrero 2015 17:48
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