In this paper, aimed at reducing deviation of the output characteristic between DFIG model and operating wind turbine generator. A method using measured data for modifying the model of DFIG is provided. Firstly, the data fitting method is used to get the mathematical model of the operating turbine. Secondly, the model is studied to improve its control strategy. At last, an example is given in PSCAD and showed that the modified model truthfully reflects the output characteristics of the operating wind turbine generator which improved the integration simulation accuracy of DFIG. Introduction Doubly fed wind generator (DFIG) has become the mainstream type of wind turbine [1]. In the simulation calculation of the grid connected operation of doubly fed wind generator and its influence, it is important to establish a model which can accurately reflect the actual output characteristic of doubly fed wind power generator [2]. There has been a plenty of studies of the numerical simulation model of doubly fed wind generator and its control system at home and abroad [3-5]. In this paper, the Lagrange interpolation method is used to process the measured data of DFIG for gaining the characteristic curve of output power. Then, the related function between active and reactive power is improved according to the characteristic curve. The node voltage amplitude of load switching has more fluctuation in recovery process by calculating the short-circuit fault and load switching with the 50MVA double-fed wind farm simulation model. And the short-circuit fault node has more variations in angle and frequency. The simulation model of DFIG has a profound influence on transient calculation results.
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