DocumentCode
3096797
Title
Displaying aggregate data, interrelated quantities, and data trends in electric power systems
Author
Klump, Ray ; Dooley, Greg ; Wu, Warren
Author_Institution
PowerWorld Corp., Champaign, IL, USA
fYear
2003
fDate
6-9 Jan. 2003
Abstract
This paper describes a number of effective techniques for visualizing some of the more complex data relationships that characterize an electric power system in real time. Power systems are large, dynamic physical entities that are constantly changing. While SCADA systems capture the quantitative aspects of these changes, visualizing their magnitudes, pinpointing their locations, and interpreting their collective significance for the current and future security of the interconnection pose tremendous challenges for system operators. This paper describes how advanced visualization techniques such as area tie diagrams, calculated data analogs, historical trend animations, and three-dimensional views clarify the complex relationships, aggregate subsystem characteristics, and emerging trends that describe the current state of the interconnection and help predict its future evolution. The paper provides a number of illustrations that demonstrate the effectiveness of the proposed techniques.
Keywords
SCADA systems; control system analysis computing; data visualisation; diagrams; engineering graphics; power system analysis computing; power system control; SCADA systems; aggregate subsystem characteristics; complex data relationships; data analogs; electric power system; electric power systems; system operators; three-dimensional views; tie diagrams; trend animations; visualization; Aggregates; Computer displays; Data security; Data visualization; Hardware; Information security; Personnel; Power system dynamics; Power system interconnection; Power system security;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 2003. Proceedings of the 36th Annual Hawaii International Conference on
Print_ISBN
0-7695-1874-5
Type
conf
DOI
10.1109/HICSS.2003.1173848
Filename
1173848
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