Reactive power minimization of dual active bridge DC/DC converter with triple phase shift control using neural network

Yasen A. Harrye*, Khaled H. Ahmed, Ahmed A. Aboushady

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Reactive power flow increases dual active bridge (DAB) converter RMS current leading to an increase in conduction losses especially in high power applications. This paper proposes a new optimized triple phase shift (TPS) switching algorithm that minimizes the total reactive power of the converter. The algorithm iteratively searches for TPS control variables that satisfy the desired active power flow while selecting the operating mode with minimum reactive power consumption. This is valid for the whole range of converter operation. The iterative algorithm is run offline for the entire active power range (-1pu to 1pu) and the resulting data is used to train an open loop artificial neural network controller to reduce computational time and memory allocation necessary to store the data generated. To validate the accuracy of the proposed controller, a 500-MW 300kV/100kV DAB model is simulated in Matlab/Simulink, as a potential application for DAB in DC grids.

Original languageEnglish
Title of host publication3rd International Conference on Renewable Energy Research and Applications (ICRERA 2014)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages566-571
Number of pages6
ISBN (Electronic)9781479937950
ISBN (Print)9781479937967
DOIs
Publication statusPublished - Oct 2014
Event3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014 - Milwaukee, United States
Duration: 19 Oct 201422 Oct 2014

Conference

Conference3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014
CountryUnited States
CityMilwaukee
Period19/10/1422/10/14

Fingerprint

DC-DC converters
Reactive power
Phase shift
Neural networks
Storage allocation (computer)
Controllers
Electric power utilization

Keywords

  • DC-DC converter
  • Dual active bridge (DAB) converter
  • Neural network (NN) controller
  • Reactive power
  • Triple phase shift (TPS)

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Harrye, Y. A., Ahmed, K. H., & Aboushady, A. A. (2014). Reactive power minimization of dual active bridge DC/DC converter with triple phase shift control using neural network. In 3rd International Conference on Renewable Energy Research and Applications (ICRERA 2014) (pp. 566-571). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRERA.2014.7016448

Reactive power minimization of dual active bridge DC/DC converter with triple phase shift control using neural network. / Harrye, Yasen A.; Ahmed, Khaled H.; Aboushady, Ahmed A.

3rd International Conference on Renewable Energy Research and Applications (ICRERA 2014). Institute of Electrical and Electronics Engineers Inc., 2014. p. 566-571.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harrye, YA, Ahmed, KH & Aboushady, AA 2014, Reactive power minimization of dual active bridge DC/DC converter with triple phase shift control using neural network. in 3rd International Conference on Renewable Energy Research and Applications (ICRERA 2014). Institute of Electrical and Electronics Engineers Inc., pp. 566-571, 3rd International Conference on Renewable Energy Research and Applications, ICRERA 2014, Milwaukee, United States, 19/10/14. https://doi.org/10.1109/ICRERA.2014.7016448
Harrye YA, Ahmed KH, Aboushady AA. Reactive power minimization of dual active bridge DC/DC converter with triple phase shift control using neural network. In 3rd International Conference on Renewable Energy Research and Applications (ICRERA 2014). Institute of Electrical and Electronics Engineers Inc. 2014. p. 566-571 https://doi.org/10.1109/ICRERA.2014.7016448
Harrye, Yasen A. ; Ahmed, Khaled H. ; Aboushady, Ahmed A. / Reactive power minimization of dual active bridge DC/DC converter with triple phase shift control using neural network. 3rd International Conference on Renewable Energy Research and Applications (ICRERA 2014). Institute of Electrical and Electronics Engineers Inc., 2014. pp. 566-571
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