CN-121993346-A - Fan optimal control method and device based on turbulence

CN121993346ACN 121993346 ACN121993346 ACN 121993346ACN-121993346-A

Abstract

The application discloses a fan optimal control method and device based on turbulence, relates to the technical field of wind power systems, and mainly aims to cooperatively improve the power generation efficiency and the operation stability of a fan under complex wind conditions. The method comprises the main technical scheme of calculating turbulence intensity corresponding to a target fan currently, determining a wind speed area in which the target fan is located, wherein the wind speed area comprises a low wind speed area and a high wind speed area, calculating equivalent wind speed under the turbulence intensity if the wind speed area is the low wind speed area, calculating average power corresponding to the target fan based on the equivalent wind speed, adjusting generator torque of the target fan according to the average power to capture energy gain caused by turbulence, and calculating average power deviation and power fluctuation standard deviation under the turbulence intensity if the wind speed area is the high wind speed area, and adjusting pitch angle of the target fan according to the average power deviation and the power fluctuation standard deviation to inhibit power fluctuation caused by turbulence.

Inventors

HUAN ZHENGLIN
WANG XIAO
WU LINLIN
ZHANG YANGFAN
WANG YAOHAN
LI YAN
LIU JINGBO
GONG CHAO
Xu Xiangchu
WU YUHUI

Assignees

华北电力科学研究院有限责任公司
国网冀北电力有限公司电力科学研究院
国家电网有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. A method for optimizing control of a fan based on turbulence, the method comprising: calculating the current corresponding turbulence intensity of the target fan; determining a current wind speed zone of a target fan, wherein the wind speed zone comprises a low wind speed zone and a high wind speed zone; If the wind speed is in the low wind speed area, calculating an equivalent wind speed under the turbulence intensity, calculating the average power corresponding to the target fan based on the equivalent wind speed, and adjusting the generator torque of the target fan according to the average power so as to capture the energy gain caused by the turbulence; And if the wind speed is in the high wind speed region, calculating the average power deviation and the power fluctuation standard deviation under the turbulence intensity, and adjusting the pitch angle of the target fan according to the average power deviation and the power fluctuation standard deviation so as to inhibit the power fluctuation caused by the turbulence.
2. The method of claim 1, wherein calculating the turbulence intensity for the current corresponding target blower comprises: according to the real-time wind speed data of the target fan, calculating the average wind speed and the standard deviation of the wind speed respectively; And taking the ratio of the standard deviation of the wind speed to the average wind speed as the current turbulence intensity of the target fan.
3. The method of claim 2, wherein determining the wind speed zone in which the target wind turbine is currently located comprises: acquiring the rated wind speed of a target fan; If the average wind speed is smaller than the rated wind speed, the current wind speed area of the target fan is the low wind speed area; And if the average wind speed is greater than or equal to the rated wind speed, the current wind speed area of the target fan is the high wind speed area.
4. The method of claim 1, wherein calculating an equivalent wind speed at the turbulence intensity and calculating an average power corresponding to a target fan based on the equivalent wind speed comprises: Based on the positive proportional relation of wind power and wind speed third power, calculating the equivalent wind speed under the turbulence intensity, wherein the expression is as follows: Wherein V eq is the equivalent wind speed, N K is the total sampling point number in a calculation window, V (k) is the instantaneous wind speed measured at the kth sampling moment, I is the turbulence intensity, and U is the average wind speed; based on the air density, the equivalent wind speed, the swept area of the wind wheel of the target fan and the maximum wind energy utilization coefficient of the target fan, calculating the average power corresponding to the target fan, wherein the expression is as follows: wherein P avg,1 is the average power when the optimal capturing area operates, ρ is the air density, A is the swept area of the target fan wheel, C p,max is the maximum wind energy utilization coefficient of the target fan, I is the turbulence intensity, and U is the average wind speed.
5. The method of claim 4, wherein adjusting the generator torque of the target fan based on the average power to capture the energy gain from turbulence comprises: taking the average power as a first target power, taking the first target power as a tracked term and taking the upper limit of the torque variation of the generator as a constraint term to construct a first target function of torque adjustment, wherein the expression is as follows: Wherein N k is the number of predictive control steps, P (k) is the predicted output power of the kth step, P avg,1 (k) is the first target power of the kth step, (T k -T k-1 ) is the generator torque variation of the kth step and the (k+1) th step, and λ 1 is the penalty coefficient of torque smoothing; And minimizing the first objective function, solving to obtain an optimal torque sequence in a preset prediction step length, and gradually adjusting the generator torque of the target fan according to the optimal torque sequence.
6. The method of claim 1, wherein calculating the average power deviation and power fluctuation standard deviation at the turbulence intensity comprises: calculating the average power deviation based on the rated power of the target fan and the turbulence intensity, wherein the expression is as follows: Wherein P (k) is the instantaneous rated power of the target fan, P rated is the rated power of the target fan, and DeltaP (I) is the average power deviation used for representing the power loss caused by turbulence; calculating the standard deviation of the power fluctuation based on the rated power of the target fan and the turbulence intensity, wherein the expression is as follows: Wherein σ P is the standard deviation of the power fluctuation, P rated is the rated power of the target fan, K is a control correlation coefficient, and I is the turbulence intensity.
7. The method of claim 6, wherein the step of providing the first layer comprises, Adjusting the pitch angle of the target fan according to the average power deviation and the power fluctuation standard deviation to inhibit power fluctuation caused by turbulence, wherein the method comprises the following steps: Calculating a second target power based on the average power deviation, and constructing a second target function of pitch angle adjustment by taking the second target power as a tracked term, the power fluctuation standard deviation as a suppression term and the upper limit of the pitch angle adjustment rate as a constraint term, wherein the expression is as follows: Wherein N k is the number of predicted control steps, P (k) is the predicted output power of the kth step, P rated is the rated power of the target fan, lambda 2 is the penalty coefficient of fluctuation suppression, and sigma P is the standard deviation of power fluctuation; And minimizing the second objective function, solving to obtain an optimal pitch angle sequence in a preset prediction step length, and gradually adjusting the pitch angle of the target fan according to the optimal pitch angle sequence.
8. A turbulence-based fan optimization control device, the device comprising: The calculating unit is used for calculating the turbulence intensity corresponding to the target fan currently; the determining unit is used for determining a wind speed zone in which the target fan is currently positioned, wherein the wind speed zone comprises a low wind speed zone and a high wind speed zone; The first processing unit is used for calculating the equivalent wind speed under the turbulence intensity obtained by the calculating unit if the determining unit determines the low wind speed area, calculating the average power corresponding to the target fan based on the equivalent wind speed, and adjusting the generator torque of the target fan according to the average power so as to capture the energy gain caused by the turbulence; And the second processing unit is used for calculating the average power deviation and the power fluctuation standard deviation under the turbulence intensity obtained by the calculation unit if the determination unit determines that the wind speed area is high, and adjusting the pitch angle of the target fan according to the average power deviation and the power fluctuation standard deviation so as to inhibit power fluctuation caused by turbulence.
9. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the turbulence-based blower optimization control method of any one of claims 1 to 7.
10. A processor for running a program, wherein the program when run performs the turbulence-based fan optimization control method of any one of claims 1 to 7.

Description

Fan optimal control method and device based on turbulence Technical Field The application relates to the technical field of wind power systems, in particular to a fan optimal control method and device based on turbulence. Background As the wind power industry continues to expand to a complex terrain area, the turbulent environment faced by a fan is more severe, and the short-time and severe fluctuation of wind speed caused by turbulence becomes a core bottleneck for restricting the running performance of a unit. On one hand, the fluctuation amplitude of the power output of the fan can reach +/-15% of rated power, the fan is difficult to maintain to operate near an optimal power curve, huge pressure is brought to power grid frequency modulation, and on the other hand, the dynamic stress caused by turbulence can obviously aggravate fatigue damage of key components such as blades, a transmission chain, a tower barrel and the like, so that the safety and reliability of long-term operation of a unit are seriously threatened. Currently, in the prior art, a control strategy (such as PID control) with fixed parameters and a control strategy with standard static power curve are generally used for optimizing turbulence to control a fan to dynamically adjust pitch or torque parameters. However, the control strategy based on fixed parameters cannot adapt to nonlinear and time-varying characteristics caused by dynamic change of turbulence intensity, the self-adaptive capacity is poor, the power fluctuation is possibly aggravated, tracking lag is possibly caused, and even system oscillation is caused when the turbulence is strong, while the control strategy of a standard static power curve does not consider the influence of factors such as turbulence in an actual running environment, and the like, the deviation of wind energy capturing calculation is caused, so that the accuracy of power generation amount evaluation and maximum power point tracking is reduced, and the power generation loss is caused. Therefore, how to improve the power generation performance of the fan under the complex wind condition, and achieve the cooperative improvement of the power generation efficiency and the operation stability is a technical problem to be solved in the field. Disclosure of Invention In view of the above problems, the application provides a method and a device for optimizing control of a fan based on turbulence, which mainly aims to cooperatively improve the power generation efficiency and the operation stability of the fan under complex wind conditions. In order to solve the technical problems, the application provides the following scheme: In a first aspect, the present application provides a method for optimizing control of a fan based on turbulence, the method comprising: calculating the current corresponding turbulence intensity of the target fan; determining a current wind speed zone of a target fan, wherein the wind speed zone comprises a low wind speed zone and a high wind speed zone; If the wind speed is in the low wind speed area, calculating an equivalent wind speed under the turbulence intensity, calculating the average power corresponding to the target fan based on the equivalent wind speed, and adjusting the generator torque of the target fan according to the average power so as to capture the energy gain caused by the turbulence; And if the wind speed is in the high wind speed region, calculating the average power deviation and the power fluctuation standard deviation under the turbulence intensity, and adjusting the pitch angle of the target fan according to the average power deviation and the power fluctuation standard deviation so as to inhibit the power fluctuation caused by the turbulence. In a second aspect, the present application provides a turbulence-based fan optimization control device, the device comprising: The calculating unit is used for calculating the turbulence intensity corresponding to the target fan currently; the determining unit is used for determining a wind speed zone in which the target fan is currently positioned, wherein the wind speed zone comprises a low wind speed zone and a high wind speed zone; The first processing unit is used for calculating the equivalent wind speed under the turbulence intensity obtained by the calculating unit if the determining unit determines the low wind speed area, calculating the average power corresponding to the target fan based on the equivalent wind speed, and adjusting the generator torque of the target fan according to the average power so as to capture the energy gain caused by the turbulence; And the second processing unit is used for calculating the average power deviation and the power fluctuation standard deviation under the turbulence intensity obtained by the calculation unit if the determination unit determines that the wind speed area is high, and adjusting the pitch angle of the target fan according to the average power deviation and the p