基于模糊PID与DEPSO算法的风电机组协同变桨控制OA

In order to address the problems of poor power stability and fatigue load issues of wind turbine units under complex operating conditions,an intelligent coordinated pitch control strategy is proposed to conduct research on the power and load control of wind turbine units.In terms of power regulation,considering that traditional PID control cannot adaptively adjust parameters when facing rapidly changing turbulent wind,which easily leads to overshoot and oscillation of output power,fuzzy theory is introduced to realize the adaptive adjustment of PID parameters.This enables the control system to dynamically adjust parameters according to wind speed changes,quickly stabilize the output power,and reduce power fluctuations.In terms of load regulation,in allusion to the problem that traditional pitch control methods struggle to effectively adjust the load borne by wind turbine units,a blade root load feedback PI controller is designed.Meanwhile,the differential evolution particle swarm optimization(DEPSO)algorithm is used to optimize the parameters of the controller,so as to improve the response of blade root load.The joint simulations of OpenFAST and Simulink demonstrate that the proposed coordinated pitch control method can not only stabilize power output rapidly,but also significantly reduce the root load.The standard deviation of the out-of-plane torque is reduced by 19%,and the average value of the overturning moment is reduced from over 1 400 kN∙m to 26.62 kN∙m.This control strategy has certain advantages and can guarantee the long-term stable operation of wind turbine units in complex environments.