Evaluation of Renewable Energy Accommodation Capacity Considering Transient Voltage Stability

The numerous advantages of renewable energy have led to its increasing penetration rate in new power systems. With the changes in the energy structure of China's power system, the integration of a large amount of renewable energy will affect the transient voltage reliability of the power system. Based on this research background, this article establishes a renewable energy accommodation capacity evaluation model that considers transient voltage stability constraints. The PSASP-Matlab joint transient time domain simulation environment is studied for the judgment of transient voltage stability constraints in the accommodation model. A solution strategy based on spectral optimization algorithm and deep confidence network is proposed. Finally, the feasibility of the model and method is verified in an improved IEEE standard power system.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922346
Primary Topic
Power Systems and Renewable Energy
Type
article
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Evaluation of Renewable Energy Accommodation Capacity Considering Transient Voltage Stability

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Evaluation of Renewable Energy Accommodation Capacity Considering Transient Voltage Stability

Xiangqian Jiang, Weiping Liu, Wei Wang, Pengfei Zheng, Lijun Xu, Guowei Yong
article en

Abstract

The numerous advantages of renewable energy have led to its increasing penetration rate in new power systems. With the changes in the energy structure of China's power system, the integration of a large amount of renewable energy will affect the transient voltage reliability of the power system. Based on this research background, this article establishes a renewable energy accommodation capacity evaluation model that considers transient voltage stability constraints. The PSASP-Matlab joint transient time domain simulation environment is studied for the judgment of transient voltage stability constraints in the accommodation model. A solution strategy based on spectral optimization algorithm and deep confidence network is proposed. Finally, the feasibility of the model and method is verified in an improved IEEE standard power system.

Weihai Science and Technology Bureau (CN)
Affordable and clean energy
Openalex Percentile: Top 66%
Power Systems and Renewable Energy
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