Design of wind farm layout using ant colony algorithm

The wind is a clean, abundant and entirely renewable source of energy. Large wind farms are being built around the world as a cleaner way to generate electricity, but operators are still searching for more efficient wind farm layouts to maximize wind energy capture. This paper presents an ant colony algorithm for maximizing the expected energy output. The algorithm considers wake loss, which can be calculated based on wind turbine locations, and wind direction. The proposed model is illustrated with three different scenarios of the wind speed and its direction distribution of the windy site and, comparing to evolutionary strategy algorithm available in literature. The results show that the ant colony algorithm performs better than existing strategy, in terms of maximum values of expected energy output and wake loss.

► Ant colony optimization (ACO) was used to optimize wind farm layout for maximizing the expected energy output.
► Wake losses are very sensitive to the number of turbines which have different layouts.
► Three wind scenarios were tested to find optimum wind farm layout.