arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2411.08043physics.space-phphysics.geo-ph
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Graph-GIC:一种基于图论用于空间天气应用的智能并行地磁感应电流建模算法

Graph-GIC: A Smart and Parallelized Geomagnetically Induced Current Modelling Algorithm Based on Graph Theory for Space Weather Applications

Wen Chen, Ding Yuan, Xueshang Feng, Stefaan Poedts, Zhengyang Zou, Song Feng, Yuxuan Zhu, Tong Yin

AI总结:

本文提出了一种基于图论的智能并行地磁感应电流(GIC)建模算法 Graph GIC,通过图表示电网并利用稀疏矩阵与并行化技术,实现了大规模电网的高精度、约18倍加速计算,可用于评估空间天气对大陆尺度电网的影响。

摘要:

地磁感应电流(GIC)是指地球及其导电的现代基础设施对空间天气的电磁响应,会对为交流电运行设计的高压电网构成重大威胁。为了评估空间天气对电网的影响,需要在全国或大陆尺度上计算 GIC。在本研究中,我们开发了一种智能且并行化的 GIC 建模算法 Graph GIC。该算法利用图来表示单线图中的电网,其中变电站/变压器作为节点,输电线路作为边。通过这些表示,电网及其电气参数被数学上表示为邻接矩阵和导纳矩阵。我们使用了稀疏矩阵和并行化技术来加速大规模电网情况下的密集计算。Graph GIC 通过基准电网进行了验证,应用于中国广东 500 kV 电网的 GIC 计算,并对电网对地磁风暴的易感性进行了初步分析。Graph GIC 算法的优势在于能够直观且高度可扩展地以图的形式表示任意规模的电网。它在并行化后实现了高精度计算和约 18 倍的加速。该算法可应用于评估空间天气对直至大陆尺度电网的影响,并可被纳入全球空间天气建模框架中。

英文摘要:

Geomagnetically Induced Current (GIC) refers to the electromagnetic response of the Earth and its conductive modern infrastructures to space weather and would pose a significant threat to high-voltage power grids designed for the alternative current operation. To assess the impact of space weather on the power grid, one needs to calculate the GIC on a national or continental scale. In this study, we developed a smart and parallelized GIC modelling algorithm, Graph GIC. This algorithm deploys a graph representing a power grid in a single-line diagram, in which substations/transformers act as nodes and transmission lines as edges. With these denotations, a power grid and its electric parameters are mathematically represented with an adjacency matrix and an admittance matrix. We used sparse matrix and parallelisation techniques to expedite the intensive computation in cases of large-scale power grids. The Graph GIC was validated with a benchmark grid, applied to the GIC calculation of the 500 kV power grid of Guangdong, China, and conducted preliminary analysis on the grid's susceptibility to geomagnetic storms. The Graph GIC algorithm has the advantage of an intuitive and highly scalable graph representation of a power grid at any scale. It achieves high-accuracy calculation and a speedup of about 18 times after parallelisation. This algorithm could be applied to assess the impact of space weather on a power grid up to continental scales and could be incorporated into global space weather modelling frameworks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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