| With the rapid development of social economy, the demand for energy increase, suchas resources shortage and environmental deterioration issues increasingly highlight, the useof renewable energy has attracted increasingly attention. Wind power is one of the mostcommon major forms of the use of wind, it has a good development prospects and has aplace in the research and application of new energy. Due to the randomness of natural windwill cause the output voltage and power fluctuations, the serious influence the powerquality and equipment life. At present, these issues of the wind power development areneeded to solve. There are many factors could affect the wind power system of powerfluctuations.In view of the small and medium-sized wind power generation system, this paperintegrated two aspects of wind characteristics and structural characteristics of the unit itself,and analysis of wind power output fluctuation of main influencing factors, mainly dividedinto the wind velocity, turbulence intensity, wind shear and tower shadow effect on thepower fluctuations.The paper studied the main factors of influence wind power output fluctuation,including wind speed, turbulence intensity, wind shear and tower shadow effect. Accordingto the wind characteristics and structural characteristics of the unit itself, based onMatlab/Simulink software simulation platform to establish a comprehensive simulationmodel of wind speed and wind power simulation model. Among them, the comprehensivewind speed model considers wind characteristics and structural characteristics of the unititself, including basic wind, gust wind, gradient wind, random wind, wind shear, and towershadow effect. Statistical analysis the error and correlation coefficients of simulation windspeed and measured wind speed, verified the feasibility of comprehensive wind speedmodel.In order to describe the extent of the small and medium-sized wind power systempower fluctuations, the paper gives the small and medium-sized wind power outputfluctuation of wind power system quantitative indicators, including power fluctuationquantity, relative standard deviation of power and power fluctuations. In a short time,divide the different time scales, based on quantitative indicators of power fluctuations,analyzed the measured wind speed and power data. The result is relative standard deviation of power fluctuations and turbulence intensity in the same change trend, and along with theincrease of time scales, turbulence intensity and power fluctuation increased. In the smalland medium-sized wind power system, under different wind speed, simulated wind shearand tower shadow effect, simulation results for the Fast Fourier Transform (FFT), throughthe spectrum diagram could see visually, frequency of wind power fluctuations caused byshear and tower shadow effect is three times the frequency of rotor speed. Under normalcircumstances, the small and medium-sized wind turbine speed range of0~750r/min, thespeed frequency range of0~12.5Hz, it is concluded that because the wind shear andtower shadow effects of wind power output fluctuation frequency range of0~37.5Hz. |