Optimal geographical placement of phasor measurement units based on clustering techniques

Diego Carrión, Esteban Inga, Jorge W. Gonzalez, Roberto Hincapié

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

3 Scopus citations

Abstract

In this paper, we propose an optimal deployment of phasor measurement units (PMUs), devices that allow the measurements of voltage and current parameters in electrical power systems (EPS). We assume a geo-referenced scenery and candidate places for the location of PMU's on each system node. We consider an optimization model to minimize the number of PMU's in the electrical system under a percentage of system observability. We use pseudo-optimal clustering techniques that allow us to contrast with the optimization model where the lowest number of PMUs are activated with the best system observability; therefore, through this research it is proposed an homogeneous group of EPS nodes, considering the minimum and maximum quantity of nodes that belong to the cluster-centroid; furthermore, we consider take the feasible and candidates system nodes, and the maximum link distance is proposed like a restriction, for the PMU placement on each system node, and it is determines which the observability percentage.

Original languageEnglish
Title of host publicationProceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509046508
DOIs
StatePublished - 2 Jul 2016
Externally publishedYes
Event51st International Universities Power Engineering Conference, UPEC 2016 - Coimbra, Portugal
Duration: 6 Sep 20169 Sep 2016

Publication series

NameProceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Volume2017-January

Conference

Conference51st International Universities Power Engineering Conference, UPEC 2016
Country/TerritoryPortugal
CityCoimbra
Period6/09/169/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Clustering Techniques
  • Electrical Power Systems
  • K-Medoids
  • Optimization
  • PMU
  • Power Transmission Lines
  • Smart Grid

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