A Novel Visualization Method of Power Transmission Lines

Shuwei Pei, Xiaofu Huang, Bin Sheng, Lizhuang Ma, Dan Wu, Ping Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Visualization plays an important role in the analysis of grid circuit topological structure. The traditional line visualization method based on geographical position usually contains such problems that the nodes density distribution is uneven and the lines are too complex to understand. Some other methods completely neglect the real geographic location information. In this paper, we propose a new visualization method by adjustment of the nodes' location and optimization of drawing lines. Initially, the scheduling substation node is designed as the central node, the other nodes are divides into different groups by k-means++ cluster algorithm. Next, the location of the nodes is adjusted and optimized after clustering, and the data density is balanced. Finally, the nodes are connected with the colored lines of ring or radial structure. Experimental results show that our visualization method can more clearly show the topological structure of the current power transmission lines and retain the main geographical location information.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages358-361
Number of pages4
ISBN (Electronic)9781479986880
DOIs
Publication statusPublished - 9 Jul 2015
Externally publishedYes
Event1st IEEE International Conference on Multimedia Big Data, BigMM 2015 - Beijing, China
Duration: 20 Apr 201522 Apr 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015

Conference

Conference1st IEEE International Conference on Multimedia Big Data, BigMM 2015
CountryChina
CityBeijing
Period20/04/1522/04/15

Keywords

  • geographic
  • lines
  • visualization

ASJC Scopus subject areas

  • Information Systems
  • Media Technology

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