Sistema de asignación de microrred para paneles solares
DOI:
https://doi.org/10.20983/culcyt.2026.1.2e.6Keywords:
optimization, microgrid, solar panelAbstract
This research developed two methods for selecting optimal electrical components from n suppliers, considering a dual-objective optimization process and a single-objective genetic algorithm. The main objectives of the problem are to minimize overall system costs (operating and maintenance costs) and maximize overall system efficiency. Two methods are proposed to determine the best supplier selection for the initial microgrid configuration: 1) an optimization algorithm that allows for the design of a multi-objective process comparing the main characteristics of the components and thus selecting the best options from different suppliers, and 2) the Genetic Algorithm for the Solar Panel Microgrid Allocation System, which focuses on cost minimization. The genetic algorithm is developed to obtain, through multiple iterations, a result that minimizes the implementation and operating costs of a microgrid. Its purpose is to minimize the total implementation cost prorated according to the component's lifespan and its annual maintenance cost.
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