Wake Effect And Micro Location Optimization Of Offshore Wind Farm

By the end of 2017,renewable energy installed capacity reached 650 million kilowatts in China,and the actual power generation was 1,697.9 billion kWh.In that year,the power generation of wind power accounted for 4.8%of China,s total power generation.According to China's wind power plan,the installed capacity of wind power will reach 200 million kilowatts by 2020,and by 2030 and 2050,the installed capacity will reach 400 million and 1 billion kilowatts respectively;before 2030,China will adopt the principle of equal development of onshore and offshore wind power.And began to develop offshore wind power;it is expected that by 2050,the development of onshore wind power and near-shore wind power will be fully realized.As offshore wind energy is more stable than onshore,offshore wind power is included in the development agenda of the wind power industry.Around 2005,offshore wind power developed rapidly and became a new global focus,while Europe is a leader in offshore wind power.During the process of the wind turbines layout,there is the wake effect between them.Due to the small wind shear and low turbulence intensity,the offshore wind farm is more affected by the wake effect.Therefore,the research of the wind turbine micro-siting plays a crucial role in improving the power generation efficiency of the wind turbine.Based on the wind farm operating data and combined with actual flow conditions,Gaussian distribution wake model is established for calculation by using Matlab software.Taking the Horns Rev offshore wind farm and Jiangsu Dafeng wind farm as the research object,combined with,the wind turbine wake is simulated based on the actual situation of the wind farm,and the availability of the model is verified by comparing with the measurements.The research on the collector line scheme of offshore wind farm is carried out,the investment cost of part of the electrical components is analyzed in depth,and the collector line function model 1s built.The optimized collector line scheme of the offshore wind farm is studied by using a hybrid solution method which is obtained by combining the particle swarm algorithm with the genetic algorithm.The optimization results show that the investment cost of different schemes is very different,but the hybrid solution method can find the optimal results better.