Nonlinear Dynamic Modeling and Large-Signal Stability Analysis of Isolated Microgrids

The distributed generation of microgrids is mainly from renewable energy sources, where the flexible energy conversion is achieved through power electronic converters. However, microgrids suffer from a lack of rotational inertia and poor immunity to disturbance, making them more susceptible to transient instability that cannot be assessed by small-signal analysis. To analyze the effects of large disturbances on the transient stability of the system, nonlinearities in the microgrid consisting of grid-forming (GFM) and grid-following (GFL) converters are described mathematically. Then, a generic nonlinear dynamic model of the isolated AC microgrid is established in this paper. Moreover, the iterative algorithm based on Takagi-Sugeno (TS) multi-modeling is employed to estimate the domain of attraction (DOA). The main novelty of this paper is to quantify and analyze the transient stability of the microgrid consisting of multiple types of converters and nonlinear loads. Furthermore, the role of complex nonlinear loads on the DOA is fully considered to make it close to the actual operating scenario. The validity of the transient stability margin is also verified by time-domain simulations.

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Publication Details

Journal
IEEE Transactions on Energy Conversion
Published
2024-11-27
DOI
https://doi.org/10.1109/tec.2024.3507187
Citations
3
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.98
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article

Nonlinear Dynamic Modeling and Large-Signal Stability Analysis of Isolated Microgrids

Ensheng Zhao, Congling Wang, Jiwei Ge, Ping Yang et al.
3 citations
IEEE Transactions on Energy Conversion
Microgrid Control and Optimization
0.98
article

Nonlinear Dynamic Modeling and Large-Signal Stability Analysis of Isolated Microgrids

Ensheng Zhao, Congling Wang, Jiwei Ge, Ping Yang, Amr S. Zalhaf, Yuxiang Liu, Yang Han
article en
3 citations

Abstract

The distributed generation of microgrids is mainly from renewable energy sources, where the flexible energy conversion is achieved through power electronic converters. However, microgrids suffer from a lack of rotational inertia and poor immunity to disturbance, making them more susceptible to transient instability that cannot be assessed by small-signal analysis. To analyze the effects of large disturbances on the transient stability of the system, nonlinearities in the microgrid consisting of grid-forming (GFM) and grid-following (GFL) converters are described mathematically. Then, a generic nonlinear dynamic model of the isolated AC microgrid is established in this paper. Moreover, the iterative algorithm based on Takagi-Sugeno (TS) multi-modeling is employed to estimate the domain of attraction (DOA). The main novelty of this paper is to quantify and analyze the transient stability of the microgrid consisting of multiple types of converters and nonlinear loads. Furthermore, the role of complex nonlinear loads on the DOA is fully considered to make it close to the actual operating scenario. The validity of the transient stability margin is also verified by time-domain simulations.

IEEE Transactions on Energy ConversionVol. 40(2)
University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 22%
Microgrid Control and Optimization
0.98
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Nonlinear Dynamic Modeling and Large-Signal Stability Analysis of Isolated Microgrids — Ensheng Zhao, Congling Wang, et al. · IEEE Transactions on Energy Conversion (2024) | TGRS Research Map | TGRS