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Double-efficiency fuzzy optimization control method for doubly-fed wind generator

A wind turbine, fuzzy optimization technology, applied in motor generator control, electronic commutation motor control, wind energy power generation and other directions, can solve problems such as search oscillation, and achieve the effect of improving active power output, improving utilization rate, and improving search accuracy

Inactive Publication Date: 2015-04-01
CHONGQING JIAOTONG UNIVERSITY
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  • Abstract
  • Description
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Problems solved by technology

[0005] On the other hand, in the process of searching for the optimal reactive power, the current single fuzzy logic search also has the problem of search oscillation

Method used

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  • Double-efficiency fuzzy optimization control method for doubly-fed wind generator
  • Double-efficiency fuzzy optimization control method for doubly-fed wind generator
  • Double-efficiency fuzzy optimization control method for doubly-fed wind generator

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Experimental program
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Effect test

Embodiment Construction

[0051] Systems for doubly-fed wind turbine control such as figure 1 As shown, the system adopts the vector control system based on the stator flux orientation to realize the decoupling between the generator electromagnetic torque and the rotor excitation. The d and q axis components of the rotor voltage control the generator rotor flux linkage and electromagnetic torque respectively.

[0052] In the actual environment, the speed of the blades changes with the wind speed, and the operating state of the wind turbine will change with the changes of the speed of the blades; When the wind speed is cut, the wind turbines are connected to the grid for power generation; in the maximum wind energy tracking area, the speed of the wind turbines changes accordingly with the wind speed to ensure that the wind energy utilization coefficient of the wind turbines is always maintained at the maximum value. At this time, the wind turbine control subsystem implements constant pitch control, and...

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Abstract

A double-efficiency fuzzy optimization control method for a doubly-fed wind generator is characterized in that after the wind generator is combined to a grid and before the wind generator reaches an allowed highest rotation speed, maximum wind energy tracing and controlling are adopted to control the wind generator, in the process of the maximum wind energy tracing and controlling, a control mode is switched to optimal idle work searching control at a proper moment, and accordingly double-optimization on the operation efficiency of the generator is achieved. The double-efficiency fuzzy optimization control method has the advantages that in the process of the maximum wind energy tracing and controlling, searching accuracy of a fuzzy reasoning rule list can be improved through changes of quantization factors of input variables of the fuzzy reasoning rule list, occurrence of adjusting dead bands is avoided, and a use ratio of wind energy by the wind generator is improved. In the process of optimal idle work tracing, vibration can be effectively restrained, the searching accuracy is improved, loss of the wind generator is reduced, and active output is improved.

Description

technical field [0001] The invention relates to a wind power generator control technology, in particular to a double-fed wind power generator double-efficiency fuzzy optimization control method. Background technique [0002] The dual-efficiency fuzzy optimal control of doubly-fed wind turbines can simultaneously achieve the dual control objectives of maximum wind energy tracking and generator minimum loss operation, which is of great significance for increasing the power generation of the unit. It is of great significance to conduct further in-depth research on the operation level. [0003] Generally, by dynamically setting the active power reference of the generator stator for indirect speed control, the maximum wind energy tracking without wind speed measurement can be realized. The setting of the active power of the generator stator is related to the characteristics of the fan. In practice, parameters such as fan parameters and air density will affect fan characteristic...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02P9/00H02P21/00H02J3/38
CPCY02E10/763Y02E10/76
Inventor 徐凯刘善超王湘萍万星刘玲
Owner CHONGQING JIAOTONG UNIVERSITY
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