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  5. Visualizing the Electrical Structure of Power Systems
 
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Visualizing the Electrical Structure of Power Systems

Author(s)
Cuffe, Paul  
Keane, Andrew  
Uri
http://hdl.handle.net/10197/7108
Date Issued
2017-09
Date Available
2015-09-25T11:43:19Z
Abstract
Recent work, using electrical distance metrics and concepts from graph theory, has revealed important results about the electrical connectivity of empiric power systems. Such structural features are not widely understood or portrayed. Power systems are often depicted using unenlightening single-line diagrams, and the results of loadflow calculations are often presented without insightful elucidation, lacking the necessary context for usable intuitions to be formed. For system operators, educators, and researchers alike, a more intuitive and accessible understanding of a power system's inner electrical structure is called for. Data visualization techniques offer several paths toward realizing such an ideal. This paper proposes various ways, in which electrical distance might be defined for empiric power systems, and records how well each candidate distance measure may be embedded in two dimensions. The resulting 2-D projections form the basis for new visualizations of empiric power systems and offer novel and useful insights into their electrical connectivity and structure.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Systems Journal
Volume
11
Issue
99
3
Start Page
1810
End Page
1821
Copyright (Published Version)
2017 IEEE
Subjects

Data visualization

Power system structur...

Zbus matrix

DOI
10.1109/JSYST.2015.2427994
Dataset(s)
http://doi.org/10.6084/m9.figshare.3573948.v1
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

My_Final_-_Electrical_Structure_of_Power_Systems.pdf

Size

1.29 MB

Format

Adobe PDF

Checksum (MD5)

5290598f4910628ad30bc72ac2cbb135

Owning collection
Electrical and Electronic Engineering Research Collection
Mapped collections
ERC Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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