Research On Micro Site Selection And Layout Optimization Of Wind Farm Sites

With the energy revolution and the promotion of green development,the demand for renewable energy is increasing in all regions of the country.The development and utilization of wind energy resources is of great significance to respond to the national "double carbon" plan and ensure the long-term development of mankind.In recent years,the state strongly supports the wind power industry and actively builds large wind power stations,but from the perspective of the completed wind power stations,there are problems such as long and error-prone site selection,low utilization of wind energy resources,and single wind turbine layout.Therefore,in this paper,we simulate the construction of wind power plants by scientific planning with flat terrain and complex mountainous areas,analyze the distribution of wind energy resources at the sites using WASP software,and optimize the arrangement of wind turbines in wind farms by combining PSO algorithm.By combining theoretical analysis with specific experiments,the annual power generation of a single wind turbine and the maximization of the annual power generation of a wind farm are used as the objective functions to optimize the micrositing of wind farms,improve the annual power generation of wind farms,and achieve the intelligence and rationalization of micro-siting of wind power plants.The main research contents and results of this paper are as follows.(1)Wind measurements and processing of related data.First,we download the predominant wind resource data,such as wind speed and wind direction,from the Fifth Generation European Centre for Medium-Range Weather Forecasting and the National Climatic Data Center websites.Beside that,we process the raw data who have used Python and My SQL software.Finally,we combine the topographic features of typical areas and confirm the data integrity and reasonableness in accordance with the "Wind Farm Wind Resource Assessment Method(GB/T 37523-2019)".In order to offer data support for wind resource assessment,the data integrity and reasonableness were confirmed in accordance with the "Wind Farm Meteorological Observation and Data Review and Revision Technical Specification(GX/T 74)" requirements.(2)Assessment of the localized wind resources and micro-siting of wind farms.Preprocessed pertinent wind data analysis is used to do multi-level analysis from the perspectives of inter-annual variation and geographical variation.In order to increase the annual power output of wind farms,this section evaluates the wind resources in typical regions using wind power density,Weibull distribution,and wind frequency curves as well as the WAs P Park wake model and Modified Park wake model on flat and complex mountainous terrain,respectively.To create the groundwork for the paper’s section on wind turbine layout optimization under various terrains,the wind turbine arrangement is initially chosen,and the present yearly power generation of the wind farm is calculated.(3)For various terrains,the PSO algorithm optimizes the placement of wind turbines.The size of the site,the wake model,and the amount of turbulence caused by the wake effect are taken into consideration for both the proposed wind power plant locations with flat terrain and difficult hilly terrain.When configuring wind turbines for various terrains,the goal function is constrained by the wind turbine spacing,cut-in and cut-out wind speeds,and site scale.The wind turbine model II-C/171-5.0 was chosen for the flat terrain site in Inner Mongolia and the wind turbine model III-S/192-5.0 was chosen for the complex mountainous region in Huidong County based on the turbulence conditions,average wind speed,and elevation in the IEC 61400-2005 safety standard.In this study,we address the issue of significant wind energy losses in conventional wind farms and combine PSO algorithm to optimize the placement of wind turbines while taking wake model and turbulence into account.In order to ultimately achieve the goal of optimizing the arrangement of wind turbines,a suitable site is first identified by analyzing the wind energy resources.From there,the maximum yearly power generation of the wind farm is computed.In conclusion,the research presented in this work offers a specific reference for the arrangement of wind farms’ microsites and wind turbines.Figure [53] Table [24] Reference [88]...