Low-voltage ride-through control strategy for permanent magnet synchronous generator under weak grid

CHEN Zhong; DING Linzhi; GU Chunsong

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Low-voltage ride-through control strategy for permanent magnet synchronous generator under weak grid

更新时间：2025-10-22

- Low-voltage ride-through control strategy for permanent magnet synchronous generator under weak grid
- Vol. 62, Issue 10, (2025)
- 作者机构：
  
  长沙理工大学智能电网运行与控制重点实验室
- 作者简介：
- 基金信息：
- DOI：
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- Published：2025
- 稿件说明：
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CHEN Zhong, DING Linzhi, GU Chunsong. Low-voltage ride-through control strategy for permanent magnet synchronous generator under weak grid[J]. 2025, 62(10).
DOI：

CHEN Zhong, DING Linzhi, GU Chunsong. Low-voltage ride-through control strategy for permanent magnet synchronous generator under weak grid[J]. 2025, 62(10). DOI：

摘要

为了提高弱电网条件下永磁直驱风机(permanent magnet synchronous generator，PMSG)的低电压穿越(low-voltage ride-through，LVRT)能力，文中提出一种基于电网阻抗特性进行功率支撑和卸荷电路辅助保护的低压穿越控制策略。根据电网等效相量图，推导出电网阻抗特性与电压支撑效果的关系，据此设计最优功率调控策略。考虑不对称故障时，需对正序电压进行最优支撑，负序电压进行最优抑制。并基于所提策略最大化提升永磁直驱风机的低电压穿越能力，达到减少电网大面积切机风险，保障直驱风机可靠运行的目的。最后在MATLAB/Simulink中搭建了PMSG并网系统仿真模型，验证了所提策略的可行性。

Abstract

In order to improve the low-voltage ride-through（LVRT）capability of permanent magnet synchronous generator（PMSG）under weak grid

this paper proposes a low-voltage ride-through control strategy for power support and auxiliary protection of unloading circuits based on power grid impedance characteristics. Based on the equivalent phasor diagram of power grid

the relationship between impedance characteristics and voltage support effect is derived

and the optimal power regulation strategy is designed accordingly. When asymmetric faults are considered

positive sequence voltage is supported optimally and negative sequence voltage is suppressed optimally. Based on the proposed strategy

the low-voltage ride-through ability of the PMSG is maximized to reduce the risk of large area cutting of the power grid and ensure the reliable operation of the PMSG. Finally

a simulation model of PMSG grid-connected system is built in MATLAB/Simulink to verify the feasibility of the proposed strategy.

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