Optimum Setting of Active Filter Parameters By Using Genetic Algorithms

نویسندگان

  • M. GHANDCHI
  • S. H. HOSSEINI
  • S. GHAEMI
چکیده

The aim of this paper is computing of the optimum duty cycle and inductance using Genetic Algorithm to minimize tracking error and operating costs by means of a new current reference. Such a current reference is able to share the responsibilities in power quality deterioration between supply and customer, making the filter to deliver a current with a lower harmonic content, which means a lower power delivered and a lower switching frequency. The use of different control approach may be helpful to achieve a good current control since this approach allows to carry out a control action independent from the electrical parameters. Key-Words: Active filter, Optimum, Genetic Algorithm, Crossover

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تاریخ انتشار 2006