Power grid simulation analysis method based on task engine
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.
Authors
- Weijiang Qiu
- jilin chen
- Min Zhao (ORCID: https://orcid.org/0000-0002-3626-3975)
- Yanhao Huang
Institutions
- North China Electric Power University (CN)
- China Electric Power Research Institute
Publication Details
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1117/12.3049606
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00