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