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Design method of DFIG multi-objective optimization control objective function

A multi-objective optimization and control target technology, which is applied in the control field of doubly-fed wind turbines, can solve the problems of deterioration of the control effect of the controlled object and deviation of control focus, and achieve multi-objective coordinated control and stable control accuracy , the effect of simplifying the control structure

Active Publication Date: 2021-06-01
TAIYUAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention aims to solve the technical problem that in the traditional layered control strategy, the control focus is seriously shifted due to the change of the reference value of the controlled object, and the control effect of a certain controlled object is deteriorated, and a DFIG multi-objective optimization is provided. Design method of control objective function

Method used

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  • Design method of DFIG multi-objective optimization control objective function
  • Design method of DFIG multi-objective optimization control objective function
  • Design method of DFIG multi-objective optimization control objective function

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Embodiment 1: The grid voltage of phase A is reduced to 0.8pu alone at t=0.35s.

[0057] like image 3 and Figure 4 As shown, from t=0s to t=0.55s, the stator active power reference value is 1147W, the stator active power fluctuation range is 1015W-1210W under the two control strategies, and the stator active power control accuracy is 8.5%. like Figure 5 and Image 6 As shown, the rotor current THD under the two control strategies is 2.37% and 2.31%, respectively, and the control accuracy of the two control strategies is basically the same at this time.

[0058] When t=0.55s, the stator active power reference value suddenly changes to 734W. like image 3 As shown, under the traditional hierarchical control strategy, the stator active power fluctuation range is 570W-800W, and the stator active power control accuracy is 15.67%. like Figure 4 As shown, under the improved hierarchical control strategy, the stator active power fluctuation range is 600W-750W, and th...

Embodiment 2

[0060] Embodiment 2: The grid voltage of phase A is reduced to 0.8pu alone at t=0.25s.

[0061] like Figure 7 and Figure 8 As shown, from t=0s to t=0.4s, the stator active power reference value is 734W, the stator active power fluctuation range is 623W-788W under the two control strategies, and the stator active power control accuracy is 11.24%. like Figure 9 and Figure 10 As shown, the rotor current THD under the two control strategies are 2.69% and 2.82%, respectively.

[0062] When t=0.4s, the stator active power reference value suddenly changes to 1473W. like Figure 7 As shown, under the traditional hierarchical control strategy, the stator active power fluctuation range is 1300W-1520W, and the stator active power control accuracy is 7.45%. like Figure 8 As shown, under the improved layered control strategy, the stator active power fluctuation range is 1270W-1590W, and the stator active power control accuracy is 10.86%. like Figure 9 and Figure 10 As show...

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Abstract

The invention belongs to the technical field of finite set model predictive control of a doubly-fed wind generator, and particularly relates to a design method of a DFIG multi-objective optimization control objective function. The method solves the technical problems in the background technology, and comprises the following steps: selecting two controlled objects; based on finite set model predictive control, giving a traditional hierarchical control objective function; updating non-linear terms in a traditional hierarchical control objective function, and reconstructing an objective function including two controlled objects; and according to the dynamic feedback effect of the motor, enabling the system to dynamically switch the weight coefficients of the controlled objects, and meanwhile, adjusting the control force according to the change condition of the reference values of the controlled objects to make the control precision of the two controlled objects kept stable. On the basis of traditional hierarchical control, nonlinear terms in a target function are further rewritten, a relative error control idea is introduced into the target function, and the purpose that the control precision of each controlled object is basically unchanged can be achieved under the condition that the reference value of the controlled object changes greatly.

Description

technical field [0001] The invention belongs to the technical field of doubly-fed wind power generator control under unbalanced grid voltage, relates to a finite set model predictive control technology of doubly-fed wind power generators, and specifically relates to a DFIG multi-objective optimization control objective function design method. Background technique [0002] In recent years, with the emergence of environmental problems such as air pollution and the greenhouse effect, people have gradually realized the importance of clean energy instead of fossil energy. Among all kinds of new energy, wind energy is an important form of energy. In today's electrical age, we hope to convert wind energy into electric energy to serve human production and life. Double-fed wind turbine has become the mainstream model of wind power generation because of its wide operating speed range and small required field converter capacity. [0003] The probability of asymmetric faults in the act...

Claims

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Application Information

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IPC IPC(8): H02P9/00H02P9/44H02P21/14H02J3/38
CPCH02P9/007H02P9/44H02P21/14H02J3/381H02J2300/28H02P2103/10
Inventor 李岚杨旭侯传羽杨琦赵楠
Owner TAIYUAN UNIV OF TECH
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