基于自适应桨距角控制策略的风电机组发电性能优化方法OA

This paper proposes a power generation performance optimization method for wind turbines based on self-adaption pitch angle control strategy to address the issue of reduced power generation performance caused by increased surface roughness of blades and accumulated measurement errors of blade pitch angle sensors in long-term service wind turbines.Firstly,three types of data fitting methods,namely quadratic polynomial,Gaussian function,and trigonometric function,are used to fit the relationship between blade pitch angle compensation value and wind energy utilization coefficient.Sensitivity to changes in dispersion,sample size,and calculation cycle are used as evaluation indicators for the fitting function;Then,a quantitative calculation method for evaluation indicators is designed to evaluate the fitting effect of various data fitting methods;Finally,taking the long-term service of a 2 MW direct drive wind turbine as an example,an adaptive pitch angle control strategy is implemented to study the power generation performance of the wind turbine.The research results show that:1)Gaussian function is a better data fitting method compared to quadratic polynomial and trigonometric function,and the maximum value of fitting function of the original data after kernel density estimation function curve screening has higher consistency.2)After implementing the adaptive pitch angle control strategy,the annual power generation of a 2 MW direct drive wind turbine in long-term service increased by 1.3%and 90.4 MWh compared to before implementing the strategy,indicating that the adaptive pitch angle control strategy can improve the power generation performance of the wind turbine.