Financially Optimal Solar Power Sizing and Positioning in a Power Grid



Cangul, Ozcel, Rocchetta, Roberto ORCID: 0000-0002-8117-8737, Patelli, Edoardo ORCID: 0000-0002-5007-7247 and Fahrioglu, Murat
(2018) Financially Optimal Solar Power Sizing and Positioning in a Power Grid. In: 2018 IEEE International Energy Conference (ENERGYCON), 2018-6-3 - 2018-6-7, Limassol, Cyprus.

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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.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: genetic algorithm, matpower, optimal, solar, sizing, positioning
Depositing User: Symplectic Admin
Date Deposited: 11 Nov 2019 15:42
Last Modified: 09 May 2023 14:15
DOI: 10.1109/energycon.2018.8398774
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3061330