Parameters Tuning And Optimization For Controller Of Wind Turbine Based On Bladed

At present, the control strategy of large scale wind turbine mainly adopts the control algorithm of PI control in domestic and abroad. Due to nonlinearity and time-varying parameters of wind power system, linear model of wind turbine is difficult to obtain. In the linear model parameters of the working point of the wind speed, the PI parameters cannot be obtained in the whole operating range. Aimed at the difficulties that the controller parameters of wind Turbine are hard to be calculated and adjusted during the process of design and optimization. This paper firstly calculates the linear model which is suitable for the parameter adjustment through the software model linearization of Bladed. Then, it adjusts the PI parameter of controller operating with the Immune Genetic Algorithm; According to multiple sets of PI controller parameters and the change rule between pitch Angle, through the variable gain adaptive adjusting PI PI control parameters, the simulation results show that this subject adopts the parameter setting and optimization method of superiority.With the large-scale development of wind power generators continuously, and the wind turbulence, wind shear and tower shadow effect makes the whole blade scanning plane wind speed difference to be markedly increased, the wind generator rotor aerodynamic load imbalance also give caused great fatigue load and vibration. Based on coordinate transformation of the independent variable propeller control can realize the load feedback control, effectively improve the rotor aerodynamic load imbalance problem. At present, the control strategy of the individual pitch system mainly adopts the structure of three independent PI control loops, To solve the problem of integrated optimization problem of multiple sets of PI parameters. the influence of various PI controller parameters on system performance index in trend and degree was analyzed based on orthogonal experiment and PI controller parameters of individual pitch was optimized by immune genetic algorithm. In order to increase the credibility of the wind turbine control algorithm simulation, at the same time decrease the difficulty of controller design and analysis, combined with Bladed external controller, Matlab Engine, and named pipe technology, the simulation platform combined Bladed and Matlab was developed, and individual pitch controller based on coordinate transformation was simulated on it. The simulation results show that the optimization method has a very good comprehensive optimization effect on the PI parameters of the multiple coupling controllers in the individual pitch control system.