Power System Dynamic State Estimation of Grid-Forming Inverters With Current Limiter

When the current limiter activates during large disturbances, the grid-forming inverter (GFM) switches from a voltage source to a current source. This oversight may undermine the accuracy of dynamic state estimation (DSE). To address this issue, this paper models the current limiter as a time-varying impedance, thereby presenting a unified state-space representation for DSE. This allows capturing the dynamics of GFMs in the presence and absence of current limitations. Numerical results on GFMs connected to a modified IEEE 39-bus system demonstrate the effectiveness of the proposed method.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2024-09-13
DOI
https://doi.org/10.1109/tpwrs.2024.3460417
Citations
4
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.68
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article

Power System Dynamic State Estimation of Grid-Forming Inverters With Current Limiter

Junbo Zhao, Bendong Tan, Xingyu Zhao
4 citations
IEEE Transactions on Power Systems
Power Systems and Renewable Energy
0.68
article

Power System Dynamic State Estimation of Grid-Forming Inverters With Current Limiter

Junbo Zhao, Bendong Tan, Xingyu Zhao
article en
4 citations

Abstract

When the current limiter activates during large disturbances, the grid-forming inverter (GFM) switches from a voltage source to a current source. This oversight may undermine the accuracy of dynamic state estimation (DSE). To address this issue, this paper models the current limiter as a time-varying impedance, thereby presenting a unified state-space representation for DSE. This allows capturing the dynamics of GFMs in the presence and absence of current limitations. Numerical results on GFMs connected to a modified IEEE 39-bus system demonstrate the effectiveness of the proposed method.

IEEE Transactions on Power SystemsVol. 40(1)
University of Connecticut (US)
Affordable and clean energy
Openalex Percentile: Top 26%
Power Systems and Renewable Energy
0.68
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