Financially optimal solar power sizing and positioning in a power grid

Ozcel Cangul, Roberto Rocchetta, Edoardo Patelli, Murat Fahrioglu

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

3 Citations (Scopus)

Abstract

The integration of renewable energy resources into our lives is vital for achieving a sustainable energy development. Renewable energy generation is undoubtedly an effective alternative for conventional electrical energy generation techniques, which are one of the key contributions for the emission of greenhouse gases. However, the introduction of renewable energy sources into the power grid is associated with significant costs. Here, an optimal localization and sizing of solar photovoltaic power generation plants in a power network are analyzed. Genetic algorithms are used to solve the optimization problem.

Original languageEnglish
Title of host publication2018 IEEE International Energy Conference, ENERGYCON 2018
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5386-3669-5
DOIs
Publication statusPublished - 27 Jun 2018
Externally publishedYes
Event2018 IEEE International Energy Conference, EnergyCon 2018 - Limassol, Cyprus
Duration: 3 Jun 20187 Jun 2018
http://www.energycon2018.org/

Conference

Conference2018 IEEE International Energy Conference, EnergyCon 2018
Abbreviated titleEnergycon 2018
Country/TerritoryCyprus
CityLimassol
Period3/06/187/06/18
Internet address

Keywords

  • Genetic algorithm
  • Matpower
  • Optimal
  • Positioning
  • Sizing
  • Solar

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