Wind power plant optimal control method based on wake flow effect

A technology of optimal control and wake effect, applied in the control of wind turbines, wind energy power generation, wind turbines, etc., can solve the problems of large amount of calculation and high requirements for calculation speed, etc.

Active Publication Date: 2017-08-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

One is the CFD (Computational Fluid Dynamics) wake simulation calculation based on the N-S equation. This method takes into account the air flow factors such as turbulence in the actual situation, and can calculate the wake wind speed distribution of the wind turbine more accurately, but the calculation amount is very large. , which requires high computing speed

Method used

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  • Wind power plant optimal control method based on wake flow effect
  • Wind power plant optimal control method based on wake flow effect
  • Wind power plant optimal control method based on wake flow effect

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Embodiment

[0032] figure 1 It is a flow chart of the wind farm optimization control method based on the wake effect of the present invention.

[0033] In this example, if figure 1 Shown, the present invention a kind of wind farm optimization control method based on wake effect, comprises the following steps:

[0034] S1. Based on the Jensen wake model, calculate the wake wind speed of each wind turbine at a distance x behind the wind turbine

[0035]

[0036] Among them, R is the radius of the rotor of the wind turbine, is the thrust coefficient of the i-th wind turbine, v 1 Indicates the wind speed at the first wind turbine, k is the wake drop coefficient;

[0037] The following combines the Jensen wake model to analyze the factors affecting the wake velocity of the wind turbine. The factors affecting the wake velocity of the wind turbine include the wind speed v at the first wind turbine 1 , the thrust coefficient C of the wind turbine t , the rotor radius R of the wind tur...

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Abstract

The invention discloses a wind power plant optimal control method based on a wake flow effect. Based on a Jensen wake flow model, wake flow air speed influence factors are analyzed, the wind turbine thrust coefficient is finally determined, and power output of a wind turbine can be optimized; and in particular, according to the wind turbine wake flow characteristic, a wind turbine wake flow speed stacking model is built, a numerical fitting method is then used for conducting numerical fitting on the wind turbine thrust coefficient and the wind-power utilization coefficient, fitting results are joined with the Jensen wake flow model, a wind turbine output power model is refined, and an optimal model of the wind turbine output power model is obtained. By means of the wind power plant optimal control method, a visualization method can be used for detecting change conditions of the wind power plant total output power at different wind speeds after a control optimization algorithm is added, and the effectiveness of the control algorithm is indicated compared with the total output power in the natural state.

Description

technical field [0001] The invention belongs to the technical field of wind power optimization control, and more specifically, relates to a wind farm optimization control method based on wake effect. Background technique [0002] With the continuous reduction of traditional energy sources, wind energy, as a recyclable energy source, has attracted more and more attention. For the utilization of wind resources, the most common way is to use wind turbines to generate electricity and convert wind energy into electrical energy that people can use directly. In a wind farm, when the smooth airflow blows through the fan blades to drive the wind turbine to rotate, due to the rotation of the wind turbine and the blocking effect of the blades, a wake effect is generated in the downwind direction of the wind turbine. In the wake area, the turbulence, eddy current and other phenomena generated will affect the power generation of the downstream wind turbines and reduce the service life o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D7/02
CPCF03D7/028F03D7/048Y02E10/72
Inventor 李坚黄琦张真源梁浩周统汉胡凯歌卢有亮滕云龙桂勋李澍
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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