Optimizing Wind Farm Layouts for Maximum Efficiency using PSO considering wake effect

Wind energy is crucial for renewable power generation and optimizing turbine placement in wind farms maximizes efficiency. This study uses Particle Swarm Optimization (PSO) algorithm in Python to find optimal turbine positions. Considering variable wind speeds and directions, PSO improves power output and efficiency. The research shows PSO’s effectiveness in complex optimization for wind farm layouts. The proposed layout has practical implications for renewable energy, aiding in more sustainable and efficient wind farms. Such layouts advance renewable technologies. This study highlights PSO’s potential in renewable energy optimization, stressing layout importance in effective wind energy utilization. It contributes to renewable energy planning.