Minimizing Reactive Power of DAB Converters in EPS Control with Evolutionary Computation

AKBOY E., ACAR VURAL R.

10th IEEE International Conference on Renewable Energy Research and Applications (ICRERA), İstanbul, Türkiye, 26 - 29 Eylül 2021, ss.351-356 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icrera52334.2021.9598619
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.351-356
  • Anahtar Kelimeler: Dual Active Bridge Converter, Extended Phase Shift, Genetic Algorithm, Particle Swarm Optimization, DC-DC CONVERTER
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Due to its advantages of soft switching capability, high voltage conversion ratio and isolation, Dual Active Bridge (DAB) converters are one of the widely preferred topologies in energy storage systems (ESS). An efficient way to control DAB converters considering the minimization of backflow power is Extended Phase Shift (EPS) control. However, the determination of phase-shift ratios in EPS can be a burdensome process considering the growth of search space. In this paper, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) which are nature-inspired evolutionary algorithms (EA) are applied to calculate the optimum phase-shift ratios for minimum backflow power at EPS control. Consequently, minimum current stresses are calculated according to the optimization performances of EA techniques and the obtained results for an efficient DAB converter design are evaluated comprehensively.