电力系统自动化2016，Vol.40Issue(8)：36-42,7.DOI:10.7500/AEPS20150313003
基于量测信号扰动的 DFIG 变流器控制参数辨识方法
Parameter Identification Method for Converter Controller of DFIG Based on Measurement Signal Disturbance
摘要
Abstract
The converter controller model is the key part of a doubly-fed induction generator (DFIG) model.Because of the large number of controller parameters and the series connection between the PI controllers of inner and outer control loops,the traditional identification methods have some trouble with identifiability or engineering realization.A parameter identification method is proposed based on the disturbances made on the measurement signals of secondary side,which features multi-step identification and interactive iteration.The method separately makes disturbances on the measurement signals which are used as input of PI controllers in the converter control system.These disturbances can enlarge the effect of the triggered PI controller on the response of a DFIG.Therefore,parameters of the triggered PI controller can be identified by using its measurable control target as the observation.For the series connected PI controllers,the measurement signal disturbance will be made on the latter PI controller while shielding the change of the input measurement signal of the former PI controller. Thus,the decoupling identification can be carried out on the parameters of series connected PI controllers.Using the proposed method,the two parameters of each PI controller in the converter control system can be identified separately without any identifiability problem under the certain measurement signal disturbance.And the interactive iteration of identification can further improve the identification accuracy of total parameters.关键词
风力发电/双馈感应发电机/变流器/控制器/参数辨识Key words
wind power generation/doubly-fed induction generator(DFIG)/converter/controller/parameter identification引用本文复制引用
金宇清,鞠平,刘伟航,潘学萍..基于量测信号扰动的 DFIG 变流器控制参数辨识方法[J].电力系统自动化,2016,40(8):36-42,7.基金项目
国家自然科学基金资助项目(51407059,51190102,51137002)。This work is supported by National Natural Science Foundation of China(No.51407059,No.51190102,No.51137002) （51407059,51190102,51137002）
