Research For The Optimization Of Wind Turbine Configuration Based On Wake Effect

Currently widely used in clean energy,wind energy is the fastest growing energy source in renewable energy.Meanwhile,China's wind energy resources are widely distributed,and with the development of the world's wind power,China's wind power industry has gradually matured.If our country can fully exploit the wind power,it will be a good thing for the country and the people and bring great benefits to social progress and environmental protection.With the rapid development of wind power technology,it is very important to reduce the various power losses in the process of wind power generation.The wake effect is a very important factor in the wind farm,which occupies a large proportion.It has always been a topic of much concern and research that reduce the wake effect in the wind power plant in the power generation losses.In the process of micro-site selection of wind farms,the distribution of wind turbines will directly affect the inflow wind characteristics of each wind turbine.When natural flow through the upper reaches of the wind turbine wind power,the wind speed at the downstream wind turbine wheel speed and the work of the wind turbine wheel will be reduced,resulting in wake effect.Therefore,it is of great significance to study and select reasonable wind turbine arrangement to improve the power generation efficiency of wind farm.At present,in the field of wind engineering,the tailing model of the optimal distribution wind turbines is mainly one-dimensional linear at home and abroad.In order to improve the calculation accuracy and the closer to the actual situation,this paper uses the kinetic energy theorem,momentum theorem and mass conservation to derive the three-dimensional nonlinear Gaussian wake model.It shows a higher accuracy after comparing the simulation results using MATLAB software and wind tunnel experiment data.Moreover,the model is simple to calculate and the performance requirements of the computer are not high,so this method has great significance in engineering applications.Then the Particle Swarm Optimization(PSO)algorithm is used to optimize the position optimization of wind farm in MATLAB software.According to the proposed Gaussian wake model,the wake effect is simulated,and a cost model closer to the actual wind farm is selected.The number and position of the fan are taken as the control variables,and the cost of the unit online power consumption of power generation project is taken as the objective function.The study on the Optimal Arrangement of Wind Turbine in the wind farm is conducted through the process of Automatic Optimization of Particle Swarm Optimization.At the end of the calculation,the optimal wind farm spacing arrangement and the corresponding wind farm parameters,such as the total power generation in the wind farm,the cost of electricity,the effective power of the wind farm are given..