The use of wind energy has rapidly increased in recent years. In parallel with this rapid increase, wind power plant (WPP) installation has become an important research topic. The selection of wind turbine locations in WPP installation effects turbine output power. If the appropriate turbine position is not selected, the total generation of WPP is decreased.
In this study, an optimization model was proposed to achieve the best Wind Power Plant (WPP) layout. The purpose of this study is to determine the locations that wind turbines can achieve the highest energy generation. In the first stage, wind speed distributions in the region where the plant will be installed were obtained by using Wind Atlas Analysis and Application Program (WAsP) software and field data. These distributions were used in the optimization model that developed in the Matrix Laboratory (MATLAB). The actual power curve of a wind turbine was used in the model to calculate energy generation. In the second stage, the locations of the wind turbines were determined by particle swarm optimization (PSO) method. In the final stage, the results of developed MATLAB model were compared with WASP to check accuracy. It was seen that difference between MATLAB model and WAsP software was 0.04%. This result shows that the model can perform a calculation with acceptable accuracy. In addition, it has been seen that wind turbines are located to the high wind velocity regions with the solution of the developed optimization model.
Micro-siting, Wind Power Plant, Particle Swarm Optimization, , WAsP