Optimization of Wind Farm Layout Using Evolutionary Algorithms

Abstract

This research addresses the optimization of wind farm layouts using evolutionary algorithms to enhance energy production efficiency. It evaluates multiple algorithmic strategies for positioning wind turbines, considering factors such as wind patterns, geographical constraints, and energy output. The study demonstrates how evolutionary computation can lead to significant improvements in turbine arrangement, maximizing energy capture and reducing environmental impact. By integrating advanced computational techniques with renewable energy design, this work contributes to the development of sustainable energy solutions. The findings highlight the importance of innovative engineering in tackling global energy challenges.