Location of Distributed Resources in Rural-urban Marginal Power Grids Considering the Voltage Collapse Prediction Index

Anabel Lemus, Diego Carrión, Eduar Aguirre, Jorge W. González

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This research focuses on the georeferenced location ofdistributed resources, specifically in the injection ofactive power through distributed generation. A ruralurbanmarginal feeder of a distribution company inEcuador with georeferenced information was taken asa case study, which has a medium voltage three-phaseprimary link and several medium voltage one-phasebranches of great length to supply users located farfrom the local company’s network. Consequently, toanalyze the behavior of the electrical network, theCymdist software was used to perform simulationsin steady state without and with the insertion of distributedgeneration. For the location of distributedgeneration, the voltage collapse prediction index wasused as a technique to quantify and identify problemsin the network nodes. Moreover, based on theproposed methodology, it was obtained the suitablegeoreferencing of the sites where it is necessary toinject active power to improve the voltage profilesand reduce the voltage collapse prediction index.
Translated title of the contributionUbicación de recursos distribuidos en redes eléctricas marginales rural-urbanas considerando el índice de predicción de colapso de voltaje
Original languageEnglish (US)
Pages (from-to)25-33
Number of pages9
JournalIngenius
Volume2022
Issue number28
DOIs
StatePublished - 17 Aug 2022

Bibliographical note

Publisher Copyright:
© 2022, Universidad Politecnica Salesiana. All rights reserved.

Keywords

  • Distributed generation
  • Voltage collapseprediction index
  • Distributed resources
  • Electricpower systems

CACES Knowledge Areas

  • 317A Electricity and Energy

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