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Wind measurement data tower shadow effect analysis method based on normal distribution error correction

A technology of normal distribution error and analysis method, which is applied in data processing applications, special data processing applications, electrical digital data processing, etc., and can solve problems such as overestimating wind speed statistics.

Pending Publication Date: 2021-12-14
POWERCHINA XIBEI ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The tower shadow correction method recommended in the specification is to take the larger of the two sets of wind data and compile them into one set of wind data. This processing method may overestimate the statistical value of wind speed to a large extent.

Method used

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  • Wind measurement data tower shadow effect analysis method based on normal distribution error correction
  • Wind measurement data tower shadow effect analysis method based on normal distribution error correction
  • Wind measurement data tower shadow effect analysis method based on normal distribution error correction

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Embodiment 1

[0034] This embodiment provides a method for analyzing the tower shadow effect of wind measurement data based on normal distribution error correction, such as figure 1 shown, including the following steps:

[0035] Step 1) Carry out a rationality test on the wind measurement data, classify the wind measurement data that conforms to the actual wind resource phenomenon as valid data, and eliminate the abnormal data;

[0036] Step 2) Analyze the tower shadow effect on the valid data, and identify the significant sectors and non-significant sectors affected by the tower shadow;

[0037] Step 3) For sectors significantly affected by the tower shadow, directly take the measured value of the upwind anemometer; for sectors not significantly affected by the tower shadow, take the mean or maximum value of two sets of wind speed data according to the normal distribution range , to obtain the correction value of the tower shadow effect of the wind speed data of the wind measuring tower. ...

Embodiment 2

[0040] On the basis of Embodiment 1, this embodiment provides a method for analyzing the tower shadow effect of wind measurement data based on normal distribution error correction. The conditions for checking the rationality of wind measurement data in step 1) are as follows:

[0041] (1) The 10-minute average wind speed range of the wind measuring tower is within the range of 0-40m / s;

[0042] (2) The absolute value of the 1h average wind speed change does not exceed 6m / s;

[0043] (3) The duration of continuous no change in wind speed is less than 6 hours.

[0044] Due to the randomness of wind speed and the occasional errors of wind measuring instruments, it is first necessary to conduct a rationality test on the wind measuring data. The wind measurement data that conforms to the actual wind resource phenomenon is temporarily classified as valid data, and the abnormal data that does not conform to the rules are screened out based on the above principles and eliminated.

Embodiment 3

[0046] On the basis of Embodiment 1, this embodiment provides a method for analyzing the tower shadow effect of wind measurement data based on normal distribution error correction. The two sets of wind speed data in step 3) are respectively measured by two sets of anemometers, By subtracting two sets of measured data, a set of deviation sequences obeying normal distribution is obtained for data processing.

[0047] In this method, the measurement deviation between the same height and different orientations of the wind measuring tower is judged and processed by statistical methods, and the mean value processing is used for high probability events; for low probability events, the value method that is relatively more likely to occur is selected. After the correction of this method, the correction error of the tower shadow effect, which is too empirical in wind resource assessment, is solved, and an effective basis is provided for a higher precision assessment of wind energy resour...

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Abstract

The invention provides a wind measurement data tower shadow effect analysis method based on normal distribution error correction. The method comprises the following steps: recognizing significant sectors and non-significant sectors affected by a tower shadow through a tower shadow effect analysis chart; directly taking a measured value of an upwind anemometer for the significant sectors affected by the tower shadow effect; as the deviation of non-significant sectors of the tower shadow effect obeys normal distribution, obtaining a mean value and a standard deviation of a deviation sequence through calculation; then taking the deviation in a confidence interval range as an effective deviation; taking the mean value of two sets of initial actually measured wind speeds in a corresponding time period as a tower shadow effect correction value; regarding the deviation outside the confidence interval as an accidental error; taking a larger value in the two sets of actually measured wind speeds in the corresponding time period when the tower shadow effect is corrected. According to the method, the problem of over-empirical tower shadow effect correction errors in wind resource assessment is solved, and an effective basis is provided for high-precision assessments of wind power plant wind energy resources.

Description

technical field [0001] The invention belongs to the technical field of wind energy resource assessment, and in particular relates to a tower shadow effect analysis method of wind measurement data based on normal distribution error correction. Background technique [0002] In order to evaluate the influence of the tower body of the wind measuring tower on the tower shadow of the wind measuring instrument, it is recommended in the "Wind Farm Wind Energy Resource Measurement and Evaluation Regulations" (NBT 31147-2018) that the hub height of the wind farm's preliminary wind turbine hub of the wind measuring tower or the measured Two sets of anemometers are installed at the maximum height of the wind tower. The tower shadow correction method for wind measurement data recommended in the specification is to take the larger of the two sets of wind measurement data and compile them into one set of wind measurement data. This processing method may overestimate the wind speed statisti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/2458G06Q50/06G06Q10/06
CPCG06F16/215G06F16/2462G06Q50/06G06Q10/0639Y02P90/82
Inventor 陈彬奚瑜彭怀午刘军涛徐栋胡义
Owner POWERCHINA XIBEI ENG
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