双馈风力发电机组变流器控制参数分步辨识方法

STEPWISE IDENTIFICATION METHOD OF CONVERTER CONTROL PARAMETERS FOR DOUBLY-FED INDUCTION GENERATORS

该文通过构建双馈风力发电机组转子侧与网侧控制系统包含8个PI控制器待辨识参数的内、外环传递函数作为参数辨识模型,基于此提出内外环施加不同扰动源的激励方法和基于改进灰狼算法的分步参数辨识方法。为避免内外环PI控制器之间的级联问题,特别选出3个合理的内外环观测量。最后,建立双馈风力发电机组仿真模型,测试所提分步辨识方法可行性,对比扰动下实际模型与辨识模型的观测量输出,证明辨识方法的准确性。

In this paper,the inner and outer loop transfer functions of the rotor-side and grid side control systems of doubly-fed wind turbines containing eight PI controllers to be identified are constructed as the parameter identification model,based on which an excitation method with different disturbance sources applied to the inner and outer loops and a stepwise parameter identification method based on the improved Gray Wolf algorithm are proposed.Among them,in order to avoid the cascade problem between the inner and outer loop PI controllers,three reasonable inner and outer loop observations are especially selected.Finally,a simulation model of the doubly fed wind turbine is established to test the feasibility of the proposed stepwise identification method,and the results show the accuracy of the identification method by comparing the observed output of the actual model and the identification model under perturbation.