Investigation Of Wind Farm Layout Based On Improved Particle Swarm Optimization Algorithm In The Actual Conditions

With the development of our society, the demand for new energy sources is becoming harder to resist. The proportion of wind energy in the new energy is increasing obviously. In order to develop the wind resource and improve the utilization of land sources efficiently, the optimization of wind farm layout is an effective way to enhance the utilization efficiency of wind energy. Therefore, it has important theoretical value and practical significance to discuss the major factors in practical engineering based on the improved particle swarm optimization algorithm.We chose the improved particle swarm optimization algorithm to make the model of wind farm layout optimization to adapt the change of the actual wind. Firstly, we made the model of the wind turbine with variable wind speed based on the improved particle swarm optimization algorithm. It was proved that the model was feasible and effective by comparing with the result of the genetic algorithm. Based on that, the study of the grid partition and complex inflow of the wind farm was carried out.The binary improved particle swarm optimization algorithm was introduced to the optimal wind farm layout arrangement to solve the arrangement of the wind farm with complex boundary, which could not be solved by the basic particle swarm optimization algorithm. The result was proved by comparing with the effective spacing ratio. Based on this model, the influence of the change of complex boundary on the wind farm arrangement was studied, to expand the application range of wind farm arrangement.In order to take the roughness of the actual terrain into consideration, the influence of the roughness variation on the optimal arrangement of the wind farm was studied by the improved particle swarm optimization algorithm. The actual terrain and wind turbine model was chosen to complete the wind farm layout in the practical engineering. The WAs P software was used to calculate the optimal arrangement of the wind farm, whose result was compared with the model based on the improved particle swarm optimization algorithm to resolve the optimization arrangement of wind turbine with the existence of the roughness in the practical engineering.