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Voltage and Power Balance Strategy without Communication for a Modular Solid State Transformer Based on Adaptive Droop Control

Author

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  • Welbert A. Rodrigues

    (Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte 31.270-901, MG, Brazil
    Department of Electrical Engineering, Federal University of Ouro Preto-St 36, 115, João Monlevade 35.931-022, MG, Brazil
    These authors contributed equally to this work.)

  • Thiago R. Oliveira

    (Department of Electronic Engineering, Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte 31.270-901, MG, Brazil
    These authors contributed equally to this work.)

  • Lenin M. F. Morais

    (Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte 31.270-901, MG, Brazil
    These authors contributed equally to this work.)

  • Arthur H. R. Rosa

    (Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte 31.270-901, MG, Brazil
    These authors contributed equally to this work.)

Abstract

Solid State Transformers (SST) are attracting considerable attention due to their great application potential in future smart grids. It is an essential technology capable of promoting the modernization of the electric power distribution system and it is considered a key element for interfacing future microgrid systems to medium voltage utility grids, allowing plug-and-play integration with multiple renewable energy sources, storage devices and DC power systems. Its main advantages in relation to conventional transformers are substantial reduction of volume and weight, fault isolation capability, voltage regulation, harmonic filtering, reactive power compensation and power factor correction. A three-stage modular cascaded topology has been considered as an adequate candidate for the SST implementation, consisting of multiple power modules with input series and output parallel connection. The modular structure presents many advantages, e.g., redundancy, flexibility, lower current harmonic content and voltage stress on the power switches, however component tolerances and mismatches between modules can lead to DC link voltage imbalance and unequal power sharing that can damage the solid state transformer. This paper proposes a decentralized strategy based on adaptive droop control capable of promoting voltage and power balance among modules of a modular cascaded SST, without relying on a communication network. The behavior of the proposed strategy is assessed through a MATLAB/Simulink simulation model of an 100 kVA SST and shows that power and voltage balance are attained through inner power distribution of the SST modules, being transparent to elements connected to the transformer input and output ports. Besides that, real-time simulation results are presented to validate the proposed control strategies. The performance of embedded algorithms is evaluated by the implementation of the SST in a real-time simulation hardware, using a Digital Signal Processor (DSP) and high level programming.

Suggested Citation

  • Welbert A. Rodrigues & Thiago R. Oliveira & Lenin M. F. Morais & Arthur H. R. Rosa, 2018. "Voltage and Power Balance Strategy without Communication for a Modular Solid State Transformer Based on Adaptive Droop Control," Energies, MDPI, vol. 11(7), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1802-:d:157169
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    References listed on IDEAS

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    1. Jeong-Woo Lim & Younghoon Cho & Han-Sol Lee & Kwan-Yuhl Cho, 2018. "Design and Control of a 13.2 kV/10 kVA Single-Phase Solid-State-Transformer with 1.7 kV SiC Devices," Energies, MDPI, vol. 11(1), pages 1-21, January.
    2. Manish Mohanpurkar & Yusheng Luo & Danny Terlip & Fernando Dias & Kevin Harrison & Joshua Eichman & Rob Hovsapian & Jennifer Kurtz, 2017. "Electrolyzers Enhancing Flexibility in Electric Grids," Energies, MDPI, vol. 10(11), pages 1-17, November.
    3. Jinguan Yin & Tiexiong Su & Zhuowei Guan & Quanhong Chu & Changjiang Meng & Li Jia & Jun Wang & Yangang Zhang, 2017. "Modeling and Validation of a Diesel Engine with Turbocharger for Hardware-in-the-Loop Applications," Energies, MDPI, vol. 10(5), pages 1-17, May.
    4. Jacinto Martin-Arnedo & Francisco González-Molina & Juan A. Martinez-Velasco & Mohammad Ebrahim Adabi, 2017. "EMTP Model of a Bidirectional Cascaded Multilevel Solid State Transformer for Distribution System Studies," Energies, MDPI, vol. 10(4), pages 1-19, April.
    5. Arthur H. R. Rosa & Thiago M. De Souza & Lenin M. F. Morais & Seleme I. Seleme, 2018. "Adaptive and Nonlinear Control Techniques Applied to SEPIC Converter in DC-DC, PFC, CCM and DCM Modes Using HIL Simulation," Energies, MDPI, vol. 11(3), pages 1-22, March.
    6. Hsin-Jang Shieh & Ying-Zuo Chen, 2017. "A Sliding Surface-Regulated Current-Mode Pulse-Width Modulation Controller for a Digital Signal Processor-Based Single Ended Primary Inductor Converter-Type Power Factor Correction Rectifier," Energies, MDPI, vol. 10(8), pages 1-17, August.
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    Cited by:

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    2. Stefano Farnesi & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2019. "Solid-State Transformers in Locomotives Fed through AC Lines: A Review and Future Developments," Energies, MDPI, vol. 12(24), pages 1-29, December.
    3. Yuyang Li & Qiuye Sun & Danlu Wang & Sen Lin, 2019. "A Virtual Inertia-Based Power Feedforward Control Strategy for an Energy Router in a Direct Current Microgrid Application," Energies, MDPI, vol. 12(3), pages 1-14, February.
    4. Mohammed Radi & Mohamed Darwish & Gareth Taylor & Ioana Pisica, 2021. "Control Configurations for Reactive Power Compensation at the Secondary Side of the Low Voltage Substation by Using Hybrid Transformer," Energies, MDPI, vol. 14(3), pages 1-23, January.

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