Load Shedding Control of Wind Turbine Based on Model Predictive Control Algorithm

Abstract

With the increasing capacity of wind turbines, the key parts of wind turbine bear the increasing load, and the structural reliability have become increasingly demanding, thus, Requirements of wind turbine control system control algorithm, can not only realize power optimization control, also can achieve down load control. Based on the theory of model prediction, design a nonlinear, variable parameter, wind turbines model predictive controller for transmission chain load slow target, designed the Matlab and GL bladed joint simulation model predictive controller. Case study adopted 2MW doubly-fed wind power unit model parameter, design variable pitch model predictive controller respectively MPC and MMPC composite model predictive controller, and simulation comparison and application of a wide range of PI control, it is shown the results that the model predictive control to reduce the wind turbine speed fluctuation amplitude, leading to smaller gear dynamic torque ripple; With the soft logic composite model predictive control algorithm, action frequency of variable pitch control is decreased.