The aerodynamic pitch computation of largescale wind turbine based on particle swarm optimization algorithm

Wind characteristics of hurricane Gustavo (2008) in the whole process of making landing on Louisiana State of USA is observed and analyzed, including wind speed, wind pressure, temperature, air moisture, rainfall, etc, on the height of 2.5m, 4m, 5m, 7m, 10m. Then, observation data are divided into three stages: pre-hurricane, in-hurricane and post-hurricane. Thereafter, gust factor, turbulence intensity, integral scale, correlation function, and probability distribution function are obtained in time domain on 10min samples. Power spectrum of wind speed in horizontal direction is fitted and averaged in frequency domain. The calculation and observation of HHT spectrum for wind speed on the height of 10m are conducted in time and frequency hybrid domain. Research shows that: Gust factors and turbulence intensities tend to be larger during the pre-hurricane period, while the integral scale shows opposite trend; the averaged values of gust factor is 1.67; Gust factor increases exponentially with turbulence intensity; The probability density function of fluctuating wind speed of Gustavo (2008) follows a Gaussian distribution; The averaged power spectrum for wind speed in horizontal direction is higher in lowfrequency region and lower in high-frequency region compared with the current power spectrums; The fluctuating wind speed for hurricane is shown to be a nonlinearity and instability stochastic process.