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 contribution | Ubicación de recursos distribuidos en redes eléctricas marginales rural-urbanas considerando el índice de predicción de colapso de voltaje |
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Original language | English (US) |
Pages (from-to) | 25-33 |
Number of pages | 9 |
Journal | Ingenius |
Volume | 2022 |
Issue number | 28 |
DOIs | |
State | Published - 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