The power security risk early warning method based on semantic analysis

Xiaoyan Ma; Renato Dan A. Pablo Ⅱ

doi:10.1117/12.3004889

25 September 2023 The power security risk early warning method based on semantic analysis

Xiaoyan Ma, Renato Dan A. Pablo Ⅱ

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127883U (2023) https://doi.org/10.1117/12.3004889
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With the increasing penetration of renewable energy in the distribution network, various internal and external factors will threaten the operation security of the power system. It is of great theoretical value to take appropriate measures to reduce the risk of power security in time for the early warning of the operation risk of the power system to ensure the stable operation of the power system. This paper proposes research on the early warning method of power security risk based on semantic analysis. According to that power system operation state and the early war index, the risk early warning information is obtained. The early warning information is analyzed based on a semantic analysis technology so that the aim of accurate early warning of the power safety risk is fulfilled. The experimental results show that the average recall rate of the proposed method is 12.29%, which verifies that the proposed method has good performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyan Ma and Renato Dan A. Pablo Ⅱ "The power security risk early warning method based on semantic analysis", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127883U (25 September 2023); https://doi.org/10.1117/12.3004889

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