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 contribution book

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, N.J.
PublisherIEEE
Number of pages6
ISBN (Electronic)9781538636695
DOIs
Publication statusPublished - 27 Jun 2018
Event2018 IEEE International Energy Conference, ENERGYCON 2018 - Limassol, Cyprus
Duration: 3 Jun 20187 Jun 2018

Conference

Conference2018 IEEE International Energy Conference, ENERGYCON 2018
CountryCyprus
CityLimassol
Period3/06/187/06/18

Keywords

  • genetic algorithm
  • matpower
  • optimal
  • positioning
  • sizing
  • solar

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  • Cite this

    Cangul, O., Rocchetta, R., Patelli, E., & Fahrioglu, M. (2018). Financially optimal solar power sizing and positioning in a power grid. In 2018 IEEE International Energy Conference, ENERGYCON 2018 IEEE. https://doi.org/10.1109/ENERGYCON.2018.8398774