A Feasibility Study of Wind Farm Location with a Mathematical Model by Considering Uncertainty

Abstract

This paper presents a comprehensive feasibility study for wind farm location optimization, incorporating uncertainty in wind resource assessment and other relevant parameters. A mathematical model is developed, combining spatial optimization techniques with robust optimization methodologies to address the inherent variability and uncertainty associated with wind energy projects. The model aims to maximize the total energy output of the wind farm while considering various constraints, including wind resource availability, turbine layout restrictions, and grid connection limitations. The uncertainty in wind speed and direction is modeled using probabilistic distributions, and robust optimization techniques are employed to ensure the feasibility of the solution under different scenarios. Numerical simulations are conducted on a case study area to demonstrate the effectiveness of the proposed methodology. The results highlight the importance of considering uncertainty in wind farm planning and provide valuable insights for decision-makers in the renewable energy sector.