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Optimal Switching Pattern for PWM AC-AC Converters Using Bee Colony Optimization

  • Khamsen, Wanchai (Faculty of Engineering, Rajamangala University of Technology Lanna) ;
  • Aurasopon, Apinan (Faculty of Engineering, Mahasarakham University) ;
  • Boonchuay, Chanwit (Faculty of Industrial and Technology, Rajamangala University of Technology Rattanakosin)
  • Received : 2013.09.08
  • Accepted : 2013.12.12
  • Published : 2014.03.20

Abstract

This paper proposes a harmonic reduction approach for a pulse width modulation (PWM) AC-AC converters using Bee Colony Optimization (BCO). The optimal switching angles are provided by BCO to minimize harmonic distortions. The sequences of the PWM switching angles are considered as a technical constraint. In this paper, simulation results from various optimization techniques including BCO, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) are compared. The test results indicate that BCO can provide a better solution than the others in terms of power quality and power factor improvement. Lastly, experiments on a 200W AC-AC converter confirm the performance of the proposed switching pattern in reducing harmonic distortions of the output waveform.

Keywords

References

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  1. Optimal harmonic reduction approach for PWM AC–AC converter using nested memetic algorithm vol.21, pp.10, 2017, https://doi.org/10.1007/s00500-015-1979-8
  2. Asymmetrical PWM for Harmonics Reduction and Power Factor Improvement in PWM AC Choppers Using Bee Colony Optimization vol.15, pp.1, 2015, https://doi.org/10.6113/JPE.2015.15.1.227