Fast Active Power Recovery for Grid-Forming Converter During Postfault Under Different R/X Ratios of Grid Impedance

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2025-03-21 DOI:10.1109/TIE.2025.3549109
Chao Wu;Zhaoyue Zou;Xiaoling Xiong;Yong Wang;Frede Blaabjerg
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Abstract

Fast active power recovery is very important for grid forming (GFM) converters to support the grid after clearing faults. However, most existing research only focuses on the voltage sag process without much attention paid to the postfault process. This article first reveals that the active power recovery of GFM converter at postfault stage is affected by the resistance inductance ratio (R/X ratio) of the grid impedance. It is found that the power angle would shift a lot during grid faults with a large R/X ratio, which causes power oscillations of GFM when the grid voltage is restored to the rated value. After revealing the influence of GFM control parameters on dynamic performance at the postfault stage, this article proposes a fast compensation method of power angle. This method can shorten the transient process of GFM converters and suppress possible instabilities during the postfault stage. Theoretical analysis and experimental verification show that the proposed method has wide applicability under different grid impedances.
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不同栅极阻抗R/X比下并网变换器故障后快速有功恢复
快速的有功功率恢复是成网变流器在故障清除后支持电网运行的关键。然而,现有的研究大多只关注电压暂降过程,而对故障后过程关注较少。本文首先揭示了GFM变换器在故障后阶段的有功功率恢复受电网阻抗电阻电感比(R/X比)的影响。研究发现,在R/X比较大的电网故障时,功率角会发生较大的位移,当电网电压恢复到额定值时,会引起GFM的功率振荡。在揭示故障后阶段GFM控制参数对动态性能影响的基础上,提出了一种功率角的快速补偿方法。该方法可以缩短GFM变换器的暂态过程,抑制故障后阶段可能出现的不稳定。理论分析和实验验证表明,该方法在不同的栅极阻抗下具有广泛的适用性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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