Establishment method and system of wind power plant model and wake value calculation method and system

A method of establishing a wind farm technology, applied in the direction of calculation, calculation model, computer components, etc., can solve the problems of not taking into account the calculation accuracy and calculation efficiency, and achieve the effects of rapid prediction, reduction of calculation time, and improvement of calculation efficiency

Active Publication Date: 2019-07-09
SHANGHAI ELECTRIC WIND POWER GRP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a method and system for establishing a wind farm model, a method and a system for calculating wake values ​​in order to overcome the defect that the existing wind farm wake calculation method cannot take into account both calculation accuracy and calculation efficiency

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  • Establishment method and system of wind power plant model and wake value calculation method and system
  • Establishment method and system of wind power plant model and wake value calculation method and system
  • Establishment method and system of wind power plant model and wake value calculation method and system

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Embodiment 1

[0042] This embodiment provides a method for establishing a wind farm model, such as figure 1 As shown, the establishment method includes the following steps:

[0043] Step 101. Obtain environmental wind speed data of several detection locations in the wind farm calculation domain.

[0044] Wherein, the environmental wind speed data includes at least one of the following parameters: wind speed, wind direction and wind frequency. The collection of ambient wind speed data can be, but not limited to, using wind towers.

[0045] Step 102, calculating the incoming wind speed data at any position in the calculation domain of the wind farm that is not affected by the wake according to the environmental wind speed data.

[0046] In this embodiment, step 102 adopts CFD to acquire the wind speed data of the incoming flow. Specifically, step 102 includes:

[0047] Perform CFD calculation on the ambient wind speed data obtained in step 101 to obtain incoming wind speed data at any pos...

Embodiment 2

[0064] This embodiment provides a wake value model method, such as figure 2 As shown, the wake value model method includes the following steps:

[0065] Step 201, establishing a wind farm model.

[0066] Specifically, in step 201, a wind farm model is established using the method for establishing a wind farm model shown in Embodiment 1.

[0067] Step 202. Obtain the environmental wind speed data of the target location, and input the environmental wind speed data into the wind farm model to predict the wake wind speed data.

[0068] Wherein, the ambient wind speed data at the target location may be acquired by using a wind measuring tower, but not limited to.

[0069] In this embodiment, the wind farm model obtained by combining the incoming wind speed data based on CFD simulation and advanced machine learning technology is used to predict the wake speed under different environmental wind speeds, avoiding expensive and time-consuming CFD calculations, especially for differen...

Embodiment 3

[0071] This embodiment provides a system for establishing a wind farm model, such as image 3 As shown, the building system includes: a first data acquisition module 1 , a model building module 2 , a calculation module 3 and a calculation domain generation module 4 .

[0072] The calculation domain generation module 4 is used to obtain the geographical data of the target area, and generate the calculation domain of the wind farm according to the geographical data. Wherein, the geographic data includes terrain contour data, roughness data, and the like. The target area can be located on flat terrain, complex terrain or sea surface. Taking a wind farm with complex terrain on land as an example, the acquired geographic data is imported into Ansys DesignModeler (a modeling tool), and the corresponding wind farm calculation domain can be generated through model processing.

[0073] The first data acquisition module 1 is used to acquire environmental wind speed data of several det...

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Abstract

The invention discloses a method and a system for establishing a wind power plant model, and a wake value calculation method and a wake value calculation system. The establishment method comprises thesteps of obtaining environment wind speed data of a plurality of detection positions in a wind power plant calculation domain; calculating incoming flow wind speed data which are not affected by wakeflow at any position in the wind power plant calculation domain according to the environment wind speed data; establishing a Jensen wake model based on Gaussian distribution; processing the incomingflow wind speed data according to the Jensen wake flow model to calculate wake flow wind speed data; training a machine learning model by taking incoming flow wind speed data and wake flow wind speeddata as training samples to obtain a wind power plant model; the wind power plant model is used for predicting wake flow wind speed data according to the environment wind speed data. Accurate and rapid prediction of wake flow speeds under different environmental wind speeds is achieved, compared with a three-dimensional CFD model, grids at an impeller do not need to be divided, the number of the grids is greatly reduced, the calculation time is shortened, and the calculation efficiency is improved.

Description

technical field [0001] The invention relates to the field of wind farm optimization control, in particular to a method and system for establishing a model of a wind farm, and a method and system for calculating wake values. Background technique [0002] The wake effect of the wind farm will affect the arrangement of the wind turbines, thereby affecting the power generation of the wind farm. At present, there are two main research methods of wake effect: [0003] Use one-dimensional Jensen (also known as PARK, a mathematical model) wake model; however, the one-dimensional Jensen wake model is a linear model, which does not match the vortex structure behind the actual wind rotor, and the calculation error is large; [0004] Use a three-dimensional CFD (computational fluid dynamics) wake model; the three-dimensional CFD wake model can more accurately predict the wake distribution, but the amount of calculation is very large, and the calculation efficiency cannot be guaranteed....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06K9/62G06N20/00
CPCG06F30/367G06F30/18G06F18/24323Y02A90/10
Inventor 靳丽琴
Owner SHANGHAI ELECTRIC WIND POWER GRP CO LTD
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