Visual Analytics for Power Grid Contingency Analysis

被引：10

作者：

Wong, Pak Chung ^{[1
]}

Huang, Zhenyu ^{[1
]}

Chen, Yousu ^{[1
]}

Mackey, Patrick ^{[1
]}

Jin, Shuangshuang ^{[1
]}

机构：

[1] Pacific NW Natl Lab, Richland, WA 99352 USA

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2014年 / 34卷 / 01期

关键词：

big-data analytics; computer graphics; contingency analysis; power grid analytics; power grids; visual analytics; visualization; WECC; Western Electricity Coordinating Council;

D O I：

10.1109/MCG.2014.17

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Contingency analysis employs different measures to model scenarios, analyze them, and then derive the best response to any threats. A proposed visual-analytics pipeline for power grid management can transform approximately 100 million contingency scenarios to a manageable size and form. Grid operators can examine individual scenarios and devise preventive or mitigation strategies in a timely manner. Power grid engineers have applied the pipeline to a Western Electricity Coordinating Council power grid model. © 2014 IEEE.

引用

页码：42 / 51

页数：10

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