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A Study on the Distributed-Control Architecture of a DSP-Based Solid-State Transformer System with Implementation

Author

Listed:
  • Jiho Ju

    (School of Electronic and Electrical Engineering, Dankook University, Yong-In 16890, Republic of Korea)

  • Dongho Choi

    (School of Electronic and Electrical Engineering, Dankook University, Yong-In 16890, Republic of Korea)

  • June-Seok Lee

    (School of Electronic and Electrical Engineering, Dankook University, Yong-In 16890, Republic of Korea)

Abstract

This article proposes a Distributed-control Architecture (D-CA) and an operation sequence with start-up strategies for a Digital Signal Processor (DSP)-based Solid-State Transformer (SST). Although various control techniques for SSTs have been reported in earlier studies, there is still a lack of research covering comprehensive content, including hierarchical control architectures and operation sequences with start-ups considering the implementation of DSPs. Therefore, this article addresses the following factors of SST. First, the D-CA is described for the design of the hierarchy between control boards. With the D-CA, because sub-boards are in charge of their corresponding DC-link voltage balancing control individually, the computational burden on the master board can be reduced. Second, the operation sequence of the SST system is explained based on the SST with D-CA. The step of DC-link voltage balance is considered throughout the entire operation sequence for safe driving. Furthermore, the PWM start-up strategies for a Cascade H-bridge Multilevel (CHM) converter and Dual Active Bridge (DAB) converter are proposed to prevent switching pulse errors caused by DSP operating characteristics. These start-up strategies reduce the current surges. The validity of the proposed D-CA and operation sequence with start-up strategies are verified by experimental results.

Suggested Citation

  • Jiho Ju & Dongho Choi & June-Seok Lee, 2023. "A Study on the Distributed-Control Architecture of a DSP-Based Solid-State Transformer System with Implementation," Energies, MDPI, vol. 16(16), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6095-:d:1221772
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    References listed on IDEAS

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    1. Ning Ma & Huaixian Yin & Kai Wang, 2023. "Prediction of the Remaining Useful Life of Supercapacitors at Different Temperatures Based on Improved Long Short-Term Memory," Energies, MDPI, vol. 16(14), pages 1-14, July.
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