• DocumentCode
    740031
  • Title

    Metaheuristic Optimization Methods Applied to Power Converters: A Review

  • Author

    De Leon-Aldaco, Susana Estefany ; Calleja, Hugo ; Aguayo Alquicira, Jesus

  • Author_Institution
    Centro Nac. de Investig. y Desarrollo Tecnol., Cuernavaca, Mexico
  • Volume
    30
  • Issue
    12
  • fYear
    2015
  • Firstpage
    6791
  • Lastpage
    6803
  • Abstract
    Power converters systems aimed at renewable energy applications have become a common option for sustainable electricity and distributed generation, since their performance has improved, and prices have steadily been reduced in the last years. However, there are still several drawbacks that hinder their widespread installation, such as the simultaneous minimization of cost and volume, efficiency maximization, size reduction, etc. Quite often, accomplishing these goals requires dealing with complicated optimization problems, which are difficult to solve by classical methods. Metaheuristic techniques provide a viable alternative to solve complex intricate optimization problems, such as those encountered in the development of power electronics converters. This paper presents a comprehensive coverage of metaheuristic methodologies applied in the area of power converters. The review includes a classification of the methodologies and main objective functions in each paper surveyed. An aim for this paper is to highlight the importance of the optimization tools, and the many benefits they provide to tackle the challenges encountered in the design, operation, and control of power converters.
  • Keywords
    genetic algorithms; particle swarm optimisation; power convertors; evolutionary algorithms; genetic algorithm; metaheuristic; metaheuristic optimization methods; particle swarm optimization; power converters; Genetic algorithms; Linear programming; Optimization methods; Particle swarm optimization; Sociology; Statistics; Evolutionary algorithms; Genetic Algorithm; Optimization Methods; Power converter; genetic algorithm (GA); metaheuristic; optimization methods; particle swarm optimization (PSO); power converter;
  • fLanguage
    English
  • Journal_Title
    Power Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8993
  • Type

    jour

  • DOI
    10.1109/TPEL.2015.2397311
  • Filename
    7024140