Power grid simulation analysis method based on task engine

Jilin Chen; Min Zhao; Yanhao Huang; Weijiang Qiu

doi:10.1117/12.3049606

8 November 2024 Power grid simulation analysis method based on task engine

Jilin Chen, Min Zhao, Yanhao Huang, Weijiang Qiu

Author Affiliations +

Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 1341630 (2024) https://doi.org/10.1117/12.3049606
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China

Abstract

With the development of artificial intelligence technology, solving power grid simulation analysis represented by data-driven methods has become a trend. Using machine learning methods to analyze the operation mode and prior knowledge of the power grid instead of manual tedious work makes it possible for machines to have a certain level of basic knowledge and experience in power system analysis. This article is based on the characteristics of power grid simulation analysis, Propose a task engine based power grid simulation analysis method, which makes tedious work mechanized and simplified, providing technical support for intelligent power grid simulation analysis.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jilin Chen, Min Zhao, Yanhao Huang, and Weijiang Qiu "Power grid simulation analysis method based on task engine", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 1341630 (8 November 2024); https://doi.org/10.1117/12.3049606

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