Wind Turbine Cost Reduction: a Detailed LCOE-Surface Model of a Wind System

The study presented in this paper focuses on the development of a wind system model. The particularity of this model is that it considers two distinct criteria: the Levelized Cost of Energy (LCOE) and the surface area occupied by wind farms. The model is developed using Matlab software and then a Multi-Objective Particle Swarm optimization MOPSO algorithm is used to minimize the surface area occupied by the entire modelled wind system, while minimizing the LCOE.

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