Frequency domain method for identifying rotor side controller parameters of double-fed wind turbine generator

A doubly-fed wind turbine, parameter identification technology, applied in the direction of motor generator control, electronic commutation motor control, electromechanical brake control, etc., can solve problems such as impossible frequent operation

Inactive Publication Date: 2014-12-17
HOHAI UNIV +3
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Problems solved by technology

However, the time-domain identification method usually requires large disturbance experiments. Due to the characteristics of the power syste

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  • Frequency domain method for identifying rotor side controller parameters of double-fed wind turbine generator
  • Frequency domain method for identifying rotor side controller parameters of double-fed wind turbine generator
  • Frequency domain method for identifying rotor side controller parameters of double-fed wind turbine generator

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing and specific embodiment the technical solution of the present invention is described in further detail:

[0036] In this embodiment, a wind turbine based on a doubly-fed induction machine (DFIG for short) is directly connected to the grid, and the simulation system is as follows figure 1 shown. The simulation system is built in Matlab2012b software. All components in the system are taken from the wind farm example (Wind Farm (DFIG Phasor Model) Demo) that comes with Matlab, and the component parameters are all default values. Among them, β represents the pitch angle of the wind turbine blade, ω r represents the DFIG rotor speed, I r represents the current in the rotor winding, V dr , V qr Represent the d-axis and q-axis components of the rotor excitation voltage; V DC Represents the voltage of the DC side capacitor; V g and I g is the output voltage and current of the grid-side converter; V dg , V qg Represent the ...

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Abstract

The invention discloses a frequency domain method for identifying rotor side controller parameters of a double-fed wind turbine generator. The frequency domain method includes: firstly, determining d-axis and q-axis decoupling models and the parameters to be identified on a rotor side controller; then injecting pseudo random signals to reference signals of the rotor side controller; calculating autopower spectrum of input signals and cross-power spectrum of the input signals and output signals according to the inputted pseudo random signals and outputted rotor current d-axis or q-axis weight which are acquired synchronously, and acquiring a frequency sequence of transfer function of the rotor side controller decoupling models; finally, identifying parameters on the rotor side controller on the basis of damping nonlinear least square optimization method. The experimental method is simple by identifying the rotor side controller parameters on the basis of the decoupling models; the pseudo random signals are superimposed on the inputted reference signals as excitement without affecting normal work of the double-fed wind turbine generator, and the experimental method is practical.

Description

technical field [0001] The invention relates to a frequency-domain method for parameter identification of a rotor-side controller of a doubly-fed wind turbine, belonging to the field of power system modeling. Background technique [0002] Since the introduction of wind power into the power system, the model of wind turbines, especially the dynamic model has been a research hotspot. The controller is an important part of the DFIG, and its control mode and model parameters have a great influence on the dynamic characteristics of the DFIG. Therefore, it is necessary to accurately model the controller of the DFIG. [0003] In the existing literature, when identifying the controller parameters of wind turbines, it is generally based on the original controller model with the rotor voltage as the output. However, the d-axis and q-axis variables in the original model are coupled. If the parameters are identified directly based on this model, The number of experiments is many and th...

Claims

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Application Information

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IPC IPC(8): H02P21/14
Inventor 潘学萍鞠平吴峰金宇清张源杨晓梅黄俊辉王海潜谢珍建乔黎伟祁万春谈健赵宏大
Owner HOHAI UNIV
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