Research on new power system security assurance method based on data visualization

Jing Li; Jie Wang; Guowei Zhu; Liang Zhou; Xiao Yu

doi:10.1117/12.2675299

25 May 2023 Research on new power system security assurance method based on data visualization

Jing Li, Jie Wang, Guowei Zhu, Liang Zhou, Xiao Yu

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126362K (2023) https://doi.org/10.1117/12.2675299
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Due to the instability of power system operation, the risk of large-scale blackouts is high. The large-scale power failure accident will cause the shutdown of factories and machines, bring huge losses to the economy, and also cause serious negative impacts on people's lives. Therefore, it is a very important work to ensure the operation safety of the power grid and gradually eliminate power failure accidents. This paper studies the analysis and evaluation methods of power system security risk and vulnerability, demonstrates the necessity of power system security risk and vulnerability analysis and evaluation, explores and studies the index system of power system security risk evaluation, studies the overall framework design, evaluation process, evaluation content, etc. of power system security risk and vulnerability analysis and evaluation, and provides a basis for power security supervision.

Citation Download Citation

Jing Li, Jie Wang, Guowei Zhu, Liang Zhou, and Xiao Yu "Research on new power system security assurance method based on data visualization", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126362K (25 May 2023); https://doi.org/10.1117/12.2675299

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