Risk Assessment and Coping Strategy of Power Distribution Network Considering the Uncertainty of Source and Load

With a large number of distributed generator (DG) connected to the distribution network, the uncertainty of source and load increases the risk of safe operation of the distribution network. Therefore, a risk response strategy for distribution network is proposed. Firstly, the probability distribution model of source and load is established, and the three-point estimation method is used to calculate the probability density function of node voltage and line power. Secondly, the comprehensive risk index of node voltage over-limit and the comprehensive risk index of line power overload are established, and the risk value is calculated. Then, the voltage over-limit risk of the node is reduced by adjusting the active power resources and the military power resources. Finally, the effectiveness of the proposed risk response strategy is verified by the CPS62 node example.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/ciced63421.2024.10753736
Primary Topic
Smart Grid and Power Systems
Type
article
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Risk Assessment and Coping Strategy of Power Distribution Network Considering the Uncertainty of Source and Load

Ke Jin, Jiaqi Tang, Lipeng Wei, Yun Fu et al.
Smart Grid and Power Systems
article

Risk Assessment and Coping Strategy of Power Distribution Network Considering the Uncertainty of Source and Load

Ke Jin, Jiaqi Tang, Lipeng Wei, Yun Fu, Jiaming Weng, Junrong Liu, Zhu Xiao-bin, Dong Liu, Shutong Zhang
article en

Abstract

With a large number of distributed generator (DG) connected to the distribution network, the uncertainty of source and load increases the risk of safe operation of the distribution network. Therefore, a risk response strategy for distribution network is proposed. Firstly, the probability distribution model of source and load is established, and the three-point estimation method is used to calculate the probability density function of node voltage and line power. Secondly, the comprehensive risk index of node voltage over-limit and the comprehensive risk index of line power overload are established, and the risk value is calculated. Then, the voltage over-limit risk of the node is reduced by adjusting the active power resources and the military power resources. Finally, the effectiveness of the proposed risk response strategy is verified by the CPS62 node example.

Shanghai Jiao Tong University (CN), Shanghai University of Electric Power (CN), Guizhou Electric Power Design and Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Smart Grid and Power Systems
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Risk Assessment and Coping Strategy of Power Distribution Network Considering the Uncertainty of Source and Load — Ke Jin, Jiaqi Tang, et al. · (2024) | TGRS Research Map | TGRS