Empirical Analysis of the Optimal Capacity Investment Solutions in Distribution Grids

Luis Lopez, Alvaro Gonzalez-Castellanos, David Pozo

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

1 Citation (Scopus)

Abstract

This paper presents an analysis of the stability and quality of the distributed generation planning problem's investment solution. A two-stage stochastic programming model is used to find the optimal distributed generators' installed capacities. We emphasize the design of scenarios to represent the stochasticity of power production from renewable sources. For scenario generation, a method is proposed based on the clustering of real measurements of meteorological variables. The quality and stability of the optimal investment solutions are thoroughly analysed as a function of the number of selected scenarios. The results show that a reduced selection of scenarios can give an inadequate solution to distributed generators' investment strategy.

Original languageEnglish
Title of host publication2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665435970
DOIs
Publication statusPublished - 28 Jun 2021
Externally publishedYes
Event2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain
Duration: 28 Jun 20212 Jul 2021

Publication series

Name2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings

Conference

Conference2021 IEEE Madrid PowerTech, PowerTech 2021
Country/TerritorySpain
CityMadrid
Period28/06/212/07/21

Keywords

  • Clustering
  • Distributed generators
  • Investment solution
  • Stochasticity

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