DFIG active power control method based on distributed model predictive control

Abstract

The invention discloses a DFIG active power control method based on distributed model prediction control, and the method comprises the steps: obtaining the historical data of a DFIG, obtaining a wind speed sequence in a prediction time domain, constructing a control model of a variable pitch controller based on random model prediction, predicting to obtain a control input variable sequence in the prediction time domain, and carrying out the prediction of a wind speed sequence in the prediction time domain; the current wind wheel rotating speed serves as the optimal wind wheel rotating speed, then an optimal active power reference value is obtained through calculation, and a rotor current reference value is obtained through a stator outer ring control ring in a rotor side variable flow controller according to the optimal active power reference value; and a rotor inner ring control ring in the rotor side variable current controller obtains a rotor voltage reference value according to the rotor current reference value, and generates a control signal of the motor according to the rotor voltage reference value so as to control the rotor current value, thereby realizing active power control. According to the invention, a control architecture based on distributed model predictive control is adopted, so that the control effect is improved.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and more particularly relates to a DFIG active power control method based on distributed model predictive control. Background technique [0002] In recent years, the wind power penetration rate of the wind power grid-connected power system has gradually increased, and the grid-connected capacity has reached a higher level. More and more new energy power generation systems are integrated into the traditional power grid, forming a more complex power grid system system. In recent years, power grid safety accidents have occurred from time to time, especially natural disasters have brought many difficulties to the safety of wind power generation. Considering that the randomness of wind speed will bring many uncertain factors to the whole system, whether the influence of random changes in wind speed can be overcome. become a new challenge in the safety of wind power systems. [0003] Win...

AI Technical Summary

Problems solved by technology

However, due to the different time scales of mechanical transients and electromagnetic transients, the traditional active power control of wind turbines is usually dominated by electromagnetic transient control. Even if combined with mechanical transients, the randomness of wind speed will be ignored. Impact

However, on the whole, the operation process of the wind power generation system is long-term. If the randomness information of the wind speed is ignored, the influence of the random change of the wind speed on the transient stability of the system cannot be fully considered.

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