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iEnergy 2022, 1(2): 243-256 https://doi.org/10.23919/IEN.2022.0033
Article | Open Access | Issue | Published: 20 June 2022

Low-voltage ride through of multi-port power electronic transformer

Show Author's Information Wusong Wen1,2,  Zhengming Zhao1( ),  Shiqi Ji1,  Liqiang Yuan1
Department of Electrical Engineering, Tsinghua University, Beijing 100083, China
Key Laboratory of Military Special Power Supply, Army Engineering University, Chongqing 400035, China
Keywords:
Active-power regulation path optimization, low-voltage ride through (LVRT), LVRT mode classification, power electronic transformer (PET)
Cite this article:
Wen W, Zhao Z, Ji S, et al. Low-voltage ride through of multi-port power electronic transformer. iEnergy, 2022, 1(2): 243-256. https://doi.org/10.23919/IEN.2022.0033
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Abstract Full text About this article

A low-voltage ride-through (LVRT) control strategy for the multi-port power electronic transformer (PET) based on power co-regulation is proposed. During the sag and recovery of the grid-side voltage of the medium-voltage ac (MVac) port, the grid-connected active power of the low-voltage ac (LVac) port, rather than the power from external renewable energy sources (e.g., photovoltaic (PV)), is adjusted quickly to rebalance the power flowing across all ports, thereby preventing overcurrent and overvoltage. Moreover, a power-coordinate-frame-based LVRT mode classification is designed, and a total of six LVRT modes are classified to meet the LVRT requirements in all power configuration scenarios of the PET. In this way, the PET is endowed with the LVRT capability in both power-generation and power-consumption states, which is significantly different from traditional power generation systems such as PV or wind power. Furthermore, by optimizing the active power regulation path during LVRT transition, the overcurrent problem caused by the grid-voltage sag-depth detection delay is overcome. Finally, the effectiveness of the proposed control scheme is verified by experiments on a hardware-in-the-loop platform.


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Low-voltage ride through of multi-port power electronic transformer

Show Author's information Wusong Wen1,2, Zhengming Zhao1( ), Shiqi Ji1, Liqiang Yuan1
Department of Electrical Engineering, Tsinghua University, Beijing 100083, China
Key Laboratory of Military Special Power Supply, Army Engineering University, Chongqing 400035, China

Abstract

A low-voltage ride-through (LVRT) control strategy for the multi-port power electronic transformer (PET) based on power co-regulation is proposed. During the sag and recovery of the grid-side voltage of the medium-voltage ac (MVac) port, the grid-connected active power of the low-voltage ac (LVac) port, rather than the power from external renewable energy sources (e.g., photovoltaic (PV)), is adjusted quickly to rebalance the power flowing across all ports, thereby preventing overcurrent and overvoltage. Moreover, a power-coordinate-frame-based LVRT mode classification is designed, and a total of six LVRT modes are classified to meet the LVRT requirements in all power configuration scenarios of the PET. In this way, the PET is endowed with the LVRT capability in both power-generation and power-consumption states, which is significantly different from traditional power generation systems such as PV or wind power. Furthermore, by optimizing the active power regulation path during LVRT transition, the overcurrent problem caused by the grid-voltage sag-depth detection delay is overcome. Finally, the effectiveness of the proposed control scheme is verified by experiments on a hardware-in-the-loop platform.

Keywords: Active-power regulation path optimization, low-voltage ride through (LVRT), LVRT mode classification, power electronic transformer (PET)

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Publication history
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Publication history

Received: 09 July 2022
Revised: 08 August 2022
Accepted: 20 August 2022
Published: 20 June 2022
Issue date: June 2022

Copyright

© The author(s) 2022

Acknowledgements

Acknowledgements

This work is supported by the National Nature Science Foundation of China (Grant No. U2034201) and the key project of Science and Technology Innovation Program of Army Engineering University (Grant No. KYCQJQZL2119). The authors would like to thank Fuji Electric Co., Ltd. for all the support to this research.

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The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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