Topology control in power system using visualization

Rao Fu, Hyungseon Oh, Ilya Grinberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Topology control (TC) issues would require applying mixed integer linear programming (MILP) or mixed integer non-linear programming (MINLP) to resolve. This paper strives to explore a new way to solve the TC problem. Visualization in scientific computing aims to provide visualized interaction between simulation and computation so that researchers can more intuitively observe the science laws of the object. Relying on humans powerful visual ability, valuable information can be found from the graphical results, and ultimately lead to the best solution. In transmission network, it is proposed that, from the parallel coordinates of the load changing, all the possible switching options can be obtained. Among these options, the best switching line is included, and possible switching options can be greatly reduced. IEEE 30-bus case for transmission system is utilized in this research. Contour plots for voltage profiles are applied to verify selections from parallel coordinates out of all 41 branches.

Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647226
DOIs
StatePublished - Jun 2019
Externally publishedYes
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019

Conference

Conference2019 IEEE Milan PowerTech, PowerTech 2019
Country/TerritoryItaly
CityMilan
Period23/06/1927/06/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Optimal topology control
  • Parallel coordinates
  • Visualization
  • Voltage contour plot

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