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.
Authors
- Jianna Ouyang (ORCID: https://orcid.org/0009-0001-8930-6465)
- Yangjun Zhou (ORCID: https://orcid.org/0009-0009-6071-1799)
- Zhidu Huang
- Shan Li (ORCID: https://orcid.org/0009-0001-5690-9366)
- Zhang Wei (ORCID: https://orcid.org/0000-0001-6259-501X)
Institutions
- Guizhou Electric Power Design and Research Institute (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/appeec61255.2024.10922339
- Primary Topic
- Smart Grid and Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00