Low-Voltage Ride-Through Method for Grid-Forming converter Based on Adaptive Virtual Impedance
编号:51 访问权限:仅限参会人 更新:2024-08-15 10:47:27 浏览:108次 张贴报告

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摘要
Due to the good grid support capability and weak grid adaptability, Grid-Forming energy storage converter is considered to be an effective solution for the grid-connected interface of new power systems. When a symmetrical low-voltage fault occurring, grid-forming (GFM) converters may face transient overcurrent problems during the fault and recovery phases. A virtual synchronous machine-controlled GFM converter is take as the research object in this paper and a low-voltage ride-through (LVRT) control method of GFM converter is proposed, which realizes the current limitation of GFM converter under low-voltage fault by using adaptive virtual impedance. On the basis of guaranteeing the voltage source characteristics of GFM converter, LVRT control method injects reactive current into the grid according to standards. Finally, based on the Simulink/Matlab simulation platform, the effectiveness of LVRT control method for transient current suppression is verified.
关键词
Adaptive virtual impedance,grid-forming converter,LVRT,virtual synchronous machine
报告人
YuanHao Zhong
none the State Key Laboratory of Advanced Electromagnetic Engineering and Technology;Huazhong university of science and technology

稿件作者
YuanHao Zhong the State Key Laboratory of Advanced Electromagnetic Engineering and Technology;Huazhong university of science and technology
Changsong Chen Huazhong University of Science and Technology;The State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Bowen Cui the State Key Laboratory of Advanced Electromagnetic Engineering and Technology;Huazhong University of Science and Technology
Chenxi Bai Huazhong University of Science and Technology;the State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Taihang He Huazhong University of Science and Technology;the State Key Laboratory of Advanced Electromagnetic Engineering and Technology
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重要日期
  • 会议日期

    11月06日

    2024

    11月08日

    2024

  • 09月15日 2024

    初稿截稿日期

  • 11月08日 2024

    注册截止日期

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Huazhong University of Science and Technology
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