Combining Multiple Sources of Data for Situational Awareness of Geomagnetic Disturbances

被引：0

作者：

Basu, Chumki ^{[1
]}

Padmanaban, Manikandan ^{[1
]}

Guillon, Sebastien ^{[2
]}

de Montigny, Martin ^{[3
]}

Kamwa, Innocent ^{[3
]}

机构：

[1] IBM Res, India Res Lab, Bangalore, Karnataka, India

[2] TransEnergie, Hydroquebec, Montreal, PQ, Canada

[3] IREQ, Hydroquebec, Montreal, PQ, Canada

来源：

2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年

关键词：

wide-area situational awareness; synchrophasors; geomagnetic disturbances; INDUCED CURRENTS;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

With the increasing complexity of the grid and increasing vulnerability to large-scale, natural events, control room operators need tools to enable them to react to events faster. This is especially true in the case of high impact events such as geomagnetic disturbances (GMDs). In this paper, we present a data-driven approach to building a predictive model of GMDs that combines information from multiple sources such as synchrophasors, magnetometers, etc. We evaluate the utility of our model on real GMD events and discuss some interesting results.

引用

页数：5

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