Application of Artificial Intelligence in Risk Assessment of Distribution Network

At present, with the rapid development of artificial intelligence, the utilization rate of smart grid in distribution network is getting higher and higher. However, smart grid power generation is largely affected by uncertain factors such as environment and weather, and the fluctuation of its output in the scenario of high permeability brings a series of adverse effects on the operation security of distribution network. Therefore, the application of artificial intelligence in distribution network risk assessment is proposed. Firstly, the distribution network risk assessment index should be calculated and graded based on artificial intelligence, the distribution network risk assessment index system should be established, the distribution network risk assessment index should be graded, and the Bayesian risk assessment model should be established based on artificial intelligence to realize the distribution network risk assessment. Finally, the experimental test proves that the risk coefficient of this evaluation method is controlled between 0.000 and 0.005.

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Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922339
Primary Topic
Smart Grid and Power Systems
Type
article
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article

Application of Artificial Intelligence in Risk Assessment of Distribution Network

Jianna Ouyang, Yangjun Zhou, Zhidu Huang, Shan Li et al.
Smart Grid and Power Systems
article

Application of Artificial Intelligence in Risk Assessment of Distribution Network

Jianna Ouyang, Yangjun Zhou, Zhidu Huang, Shan Li, Zhang Wei
article en

Abstract

At present, with the rapid development of artificial intelligence, the utilization rate of smart grid in distribution network is getting higher and higher. However, smart grid power generation is largely affected by uncertain factors such as environment and weather, and the fluctuation of its output in the scenario of high permeability brings a series of adverse effects on the operation security of distribution network. Therefore, the application of artificial intelligence in distribution network risk assessment is proposed. Firstly, the distribution network risk assessment index should be calculated and graded based on artificial intelligence, the distribution network risk assessment index system should be established, the distribution network risk assessment index should be graded, and the Bayesian risk assessment model should be established based on artificial intelligence to realize the distribution network risk assessment. Finally, the experimental test proves that the risk coefficient of this evaluation method is controlled between 0.000 and 0.005.

Guizhou Electric Power Design and Research Institute (CN)
Openalex Percentile: Top 73%
Smart Grid and Power Systems
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Application of Artificial Intelligence in Risk Assessment of Distribution Network — Jianna Ouyang, Yangjun Zhou, et al. · (2024) | TGRS Research Map | TGRS