Physical prediction method for wind power station power based on computational fluid mechanics model

A computational fluid dynamics, prediction method technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems affecting prediction accuracy, etc.

Active Publication Date: 2012-09-12
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, when predicting the power of wind farms, the availability of wind turbines caused by power cuts or failures has become a problem that must be considered, otherwise it will seriously affect the prediction accuracy

Method used

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  • Physical prediction method for wind power station power based on computational fluid mechanics model
  • Physical prediction method for wind power station power based on computational fluid mechanics model
  • Physical prediction method for wind power station power based on computational fluid mechanics model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] figure 1 It is a flow chart of the wind farm power physical prediction method based on the computational fluid dynamics model, figure 2 It is a structural diagram of the wind farm power physical prediction method based on the computational fluid dynamics model. according to figure 1 and figure 2 As shown, the wind farm power prediction method based on computational fluid dynamics CFD model provided by the present invention comprises:

[0053] Step 1: Establish a computational fluid dynamics model.

[0054] Its specific implementation process is as follows:

[0055] Step 101: Collect and map the terrain contour data and roughness data within the set range of the wind farm and its surroundings with the help of GIS geographic information system and other tools.

[0056] Step 102: Based on the data obtained in step 101, establish a physical model for predicting terrain contour data and roughness within the set range of the wind farm and its surroundings, and then det...

Embodiment 2

[0147] Taking a wind farm in northern China as an example for verification and analysis, it is predicted that the altitude of the wind farm is 1200-1900m, the wind farm covers an area of ​​about 45 square kilometers, and there are several villages in the area. stalk crops. The installed capacity of the wind farm is 183MW, and the rated capacity of the wind turbine is 1.5MW.

[0148] The data include: wind farm topography, roughness data, and wind turbine information data, which are used to establish CFD models; the average wind farm power measured value and average wind speed extracted from the SCADA system every 15 minutes, used to verify the accuracy of the prediction results; and Contemporaneous numerical mesoscale weather forecast results, used as input data for forecasts. The forecast time is 2010.

[0149] After prediction, the accuracy evaluation is performed using the following formula.

[0150] RMSE = Σ ...

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Abstract

The invention discloses a physical prediction method for wind power station power based on a computational fluid mechanics model. The physical prediction method comprises the following steps: establishing a computational fluid mechanics model; performing discretization on wind conditions of a wind power station, and taking the discretized wind as boundary conditions for conditions numerical simulation of the computational fluid to obtain space flow filed distribution of the wind power station at the discretized wind conditions; establishing data base of hub height, wind speed, wind direction and generated power of wind generation sets under the discretized wind conditions; and taking numerical weather prediction parameters as input data, and utilizing the data base to figure out the wind speeds and the wind directions of the wind generation sets so as to figure out the generated powers of the wind generation sets, and accordingly obtain predicted value of the wind power station power. According to the invention, the physical prediction method is applicable to multiple wind power stations, has small calculated amount in the power prediction stage and has short calculation time.

Description

technical field [0001] The invention belongs to the technical field of wind farm power prediction and forecasting, and in particular relates to a wind farm power physical prediction method based on a computational fluid dynamics model. Background technique [0002] my country's wind power generation has experienced leapfrog development, and will continue to maintain a rapid development momentum in the future. During the 12th Five-Year Plan period, my country's wind power installed capacity is expected to increase by more than 10 million kilowatts per year. However, the inherent intermittent and random fluctuations of wind power generation seriously threaten the economy, stability and quality of power system operation. Wind power forecasting is an effective way to reduce the adverse impact of wind power on the power grid and increase the proportion of wind power installed capacity in the power grid. The country has put forward mandatory requirements for wind farm power forec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 李莉刘永前韩爽杨勇平
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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