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.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1117/12.3049606
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Power grid simulation analysis method based on task engine

Weijiang Qiu, jilin chen, Min Zhao, Yanhao Huang
Power Systems and Renewable Energy
article

Power grid simulation analysis method based on task engine

Weijiang Qiu, jilin chen, Min Zhao, Yanhao Huang
article en

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.

North China Electric Power University (CN), China Electric Power Research Institute
Openalex Percentile: Top 81%
Power Systems and Renewable Energy
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