- Turkish Journal of Engineering
- Volume:5 Issue:2
- Wind power plant layout optimization using particle swarm optimization
Wind power plant layout optimization using particle swarm optimization
Authors : İbrahim ÇELİK, Ceyhun YILDIZ, Mustafa ŞEKKELİ
Pages : 89-94
Doi:10.31127/tuje.698856
View : 19 | Download : 6
Publication Date : 2021-04-01
Article Type : Research Paper
Abstract :The use of wind energy has rapidly increased in recent years. In parallel with this rapid increase, Wind Power Plant insert ignore into journalissuearticles values(WPP); installation has become an important research topic. The selection of wind turbine location in WPP installation effects turbine output power. If the appropriate turbine position is not selected, the total generation of WPP is decreased. The purpose of this study was to determine the locations that wind turbines can achieve the highest energy generation. In this study, an optimization model was proposed to achieve the best WPP layout. In the first stage, field data and Wind Atlas Analysis and Application Program insert ignore into journalissuearticles values(WAsP); software were used to obtain wind speed distributions in the region where the WPP will be installed. . These distributions were used in the developed optimization model in 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 turbine were determined by particle swarm optimization insert ignore into journalissuearticles values(PSO); method. In the final stage, the results of developed MATLAB model were compared with WASP to check accuracy. The difference between MATLAB model and WAsP software was found as 0.04%. This result showed that this model performed a calculation with acceptable accuracy. In addition, it was seen that wind turbines were located to the high wind velocity regions with the solution of the developed optimization model.Keywords : Micro siting, Wind power plant, Particle swarm optimization, WAsP, Weibull distribution