DocumentCode :
19402
Title :
Visual Analytics for Power Grid Contingency Analysis
Author :
Pak Chung Wong ; Zhenyu Huang ; Yousu Chen ; Mackey, Patrick ; Shuangshuang Jin
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA, USA
Volume :
34
Issue :
1
fYear :
2014
fDate :
Jan.-Feb. 2014
Firstpage :
42
Lastpage :
51
Abstract :
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.
Keywords :
data analysis; data visualisation; power engineering computing; power grids; Western electricity coordinating council power grid model; grid operators; power grid contingency analysis; power grid engineers; power grid management; visual analytics pipeline; Approximation methods; Data visualization; Power grids; Visual analytics; WECC; Western Electricity Coordinating Council; big-data analytics; computer graphics; contingency analysis; power grid analytics; power grids; visual analytics; visualization;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2014.17
Filename :
6756848
Link To Document :
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