Distributed generation allocation under uncertainty

Luis Lopez, Ingrid Oliveros, Alvaro Gonzalez-Castellanos, David Pozo

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

1 Citation (Scopus)

Abstract

Renewable energy penetration has been steadily increasing in many countries. Governments have created policies that encourage investment and announced long-term objectives for the inclusion of renewable sources. However, specific installation plans for distribution systems with the presence of distributed generators of renewable origin have not been discussed yet in Colombia. This study presents a two-stage stochastic programming solution based on scenarios to solve the problem of distributed generation allocation, computationally tested on real a 34-bus distribution network located in Colombia. The procedure for generating scenarios, based on observed meteorological data, is performed using K-means on measured data. Additionally, a sensitivity analysis is performed for the evaluation of the optimal solution based on the investment budget.

Original languageEnglish
Title of host publication2020 IEEE Power and Energy Society General Meeting, PESGM 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728155081
DOIs
Publication statusPublished - 2 Aug 2020
Event2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada
Duration: 2 Aug 20206 Aug 2020

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2020-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2020 IEEE Power and Energy Society General Meeting, PESGM 2020
Country/TerritoryCanada
CityMontreal
Period2/08/206/08/20

Keywords

  • Capacity expansion
  • Distributed generation
  • Loss reduction
  • Photovoltaic system
  • Wind generation

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