Load Calculation and Performance Analysis of Mega-MW Wind Turbine Based on Cloud Edge Computing

Abstract

With the continuous development of megawatt-scale wind turbines, the impact of blade
vibration on the dynamic stability and vibration of wind turbines cannot be ignored. However,
there is currently no method capable of effectively analyzing the load and performance of
wind turbines. In order to improve the load calculation accuracy and performance of wind
turbines, this paper selects small base stations (SBS) as the research object of cloud edge
computing, and explores the load analysis and performance analysis of megawatt-scale wind
turbines. In this paper, wind shear model, turbulence model, blade icing model and
aerodynamic model of blades under icing conditions are established, and the effect of icing on
the dynamic load of blades of megawatt wind turbines is explored. It was found that the icing
had the greatest effect on the load in the direction of the blade array, followed by the load in
the swing direction, and the least in the torsional direction. In this paper, a load analysis is
performed on the blades of a megawatt wind turbine. When the blade speed increases, the
first-order modal frequency deviation coefficient changes from -1.28% to 52.09%, and the
third-order modal frequency deviation coefficient changes from -0.77% to 48.67%. The speed
of the wind wheel has a great influence on the first and third-order vibration frequencies of the
blades of the wind turbine, but it does not have a great influence on the vibration frequencies
of the other steps.