Wind Farm Layout Optimization Using Teaching Learning Based Optimization Technique Considering Power and Cost

Wind farm layout optimization has become one of the deciding approaches to increase power output and decrease total cost of a wind farm. In recent year, for capturing maximum energy from wind turbines, wind farmers are installing the wind turbines having bigger rotors and highly efficient turbine components. Even though they are unable to get the achievable output from the wind farm due to wake effect. The heart of our research study is to analyse and optimize the wind farm layout problem. The focus of wind farm layout optimization problem is to find the best placement of wind turbine in the area of wind farm such a way that there is no wake or minimal wake condition of downstream turbine. For that purpose study of wake, model is more important and find out the best optimal solution of placement of wind turbine. Teaching learning based optimization method is used for optimizing the positioning of wind turbines. It is considered that wind is coming from 36 rotational directions with 10 degrees increment from 0 to 360 degrees and velocity is uniform throughout 12 m/s.