Transient Control Parameter Identification of Double-Fed Wind Turbine Model Based on Chaotic Particle Swarm Optimization Algorithm

Wind power integration transient simulation requires accurate wind turbine transient model and control parameters. However, the specificity of control parameters of wind turbine manufacturers makes it difficult to obtain accurate parameters, and the accuracy of simulation results can not be guaranteed. To obtain accurate parameters of the transient simulation model of doubly fed induction generator(DFIG), a stepwise parameters identification method for the transient simulation model of doubly fed induction generator considering active power recovery process was proposed. First, based on the LVRT curve analysis of the doubly fed induction generator, the LVRT control equation of the doubly fed nduction generator is established, and the necessity of identifying LVRT parameters on the turbine side is analyzed. Secondly, because of the coupling relationship among LVRT parameters, propose a stepwise identification strategy on the basis of chaotic particle swarm, and the optimal identification conditions of each parameters are obtained based on sensitivity analysis. Finally, the proposed algorithm is used to identify the LVRT control parameters.