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IJSGCE 2023 Vol.12(4): 111-117
DOI: 10.12720/sgce.12.4.111-117

Optimization of Photovoltaic and Wind Energy Sources Sizing for Home Requirements in Non-interconnected Zones: A Colombian Case Study

Manuscript submitted May 10, 2023; revised July 8, 2023; accepted September 13, 2023; published October 9, 2023.

Santiago Bernal-del Río1,2*, Riccardo Mereu2, Juan Carlos Rivera1, Gilberto Osorio-Gómez1

1EAFIT University, Research Group on Product Design Engineering, Colombia
2Politecnico di Milano, Department of Energy, Italy
*Correspondence: sbernal1@eafit.edu.co (S.B.R.)

International Journal of Smart Grid and Clean Energy, vol. 12, no. 4, 2023: pp. 111-117
Submitted May 10, 2023; revised July 8, 2023; accepted September 13, 2023; published October 9, 2023.
Full Paper.pdf

This document proposes a sustainable strategy for implementing different Non-Conventional Renewable Energy (NCRE) Sources in Non-Interconnected Zones to satisfy the most significant energy demand in these areas. The proposed approach establishes an optimization model to minimize the Loss Probability of Power Supply (LPSP) and improve the cost-benefit ratio of electricity generation with NCRE, considering different constraints, such as demand, technology costs, available environmental resources, energy storage, and technical limitations. A genetic algorithm that minimizes an objective function dependent on the LPSP and the Levelized Cost of Energy (LCOE) is developed, considering the energy models of a hybrid system composed of solar panels, horizontal axis wind turbines, and an energy storage system. The meteorological conditions for the study area, such as radiation, wind speed, and temperature, are considered, as well as the technical specifications of different models of the systems, to arrive at a solution that allows selecting the best alternatives for a user who wants to implement renewable energy in his household.

Solar energy, wind energy, optimization, LPSP, LCOE

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.