Effect of transformer design on operation of fundamental duty modulation for dual-active-bridge converter

Choi, Wonchang; Lee, Moonhyun; Cho, Bo-Hyung

doi:10.1109/apec.2016.7468054

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Moreover, such TPS method possesses three independent control variables, which is more flexible compare to other three modulation methods. Nevertheless, the calculation of such TPS modulation method will become complex and it is difficult to be unified in the practical applications [9], [10]. Due to many different operation modes is contained in linear piecewise time-domain model based TPS modulation, each operation modes should be calculated and considered individually in conventional optimization methods [9], [11].…”

Section: Introductionmentioning

confidence: 99%

Deep Reinforcement Learning-Aided Efficiency Optimized Dual Active Bridge Converter for the Distributed Generation System

Tang

Zhang

et al. 2022

IEEE Trans. Energy Convers.

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With the development of power system electronization, distributed new energy generation-based DC microgrid system has become a hot spot of the current research. Aiming to implement the collection, transformation and transmission of the new energy sources, the dual active bridge (DAB) converter has become a key energy conversion device. Aiming to promote the transmitted efficiency for such DAB converter, a deep reinforcement learning (DRL) optimization scheme with the triple-phase-shift (TPS) is proposed. Specifically, the deep deterministic policy gradient (DDPG) algorithm is used for solving optimal solutions with the minimum power losses. Then, the trained DDPG agent is used as a fast surrogate predictor, which giving the suitable control decisions under whole operation conditions. The main control objective is to minimize the power losses for getting the target maximum efficiency. Besides, the soft switching constrains are added to the DDPG algorithm. Based on this, the proposed optimized method can be used for different operation conditions with excellent performance. The operation principles, the loss analyses, and the training consideration and evaluation of the DDPG algorithm are given. Finally, simulation and experimental results using a 200 W hardware prototype are displayed and compared to prove to effectiveness of theoretical analysis. 1

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Section: Introductionmentioning

confidence: 99%

Deep Reinforcement Learning-Aided Efficiency Optimized Dual Active Bridge Converter for the Distributed Generation System

Tang

Zhang

et al. 2022

IEEE Trans. Energy Convers.

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“…For high power energy conversion application, design methods of single-phase transformers operating at medium or high frequencies are introduced [15][16][17]. More recently, in [18], estimations of core losses with non-sinusoidal excitation in medium/high frequency transformer are introduced.…”

Section: Introductionmentioning

confidence: 99%

Geometry optimization and characterization of three-phase medium frequency transformer for 10kVA Isolated DC-DC converter

Lee

Vakil

Watson

et al. 2017

2017 IEEE Energy Conversion Congress and Exposition (ECCE)

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Abstract-Three-phase Dual Active Bridge converter is advisable for the High-power DC-DC conversion system. In the ac link, galvanically isolated transformer operated at a medium frequency range provides stepping up or down of the secondary bridge voltage. This paper provides a magnetic design optimization of the medium frequency transformer for maximizing its efficiency when excited by a non-sinusoidal waveform. In this paper, a mathematical design of a 10kVA non-sinusoidal transformer had been developed and validated using two-dimensional (2D) transient finite element analysis (FEA). The set of selected design variables is defined in order to enhance the power density and efficiency of the targeted transformer and an optimization is carried out. Finally, a 10kVA transformer is prototyped and the results of core losses for nonsinusoidal excitation is confirmed experimentally.

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Effect of transformer design on operation of fundamental duty modulation for dual-active-bridge converter

Cited by 2 publications

References 23 publications

Deep Reinforcement Learning-Aided Efficiency Optimized Dual Active Bridge Converter for the Distributed Generation System

Deep Reinforcement Learning-Aided Efficiency Optimized Dual Active Bridge Converter for the Distributed Generation System

Geometry optimization and characterization of three-phase medium frequency transformer for 10kVA Isolated DC-DC converter

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