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Method for monitoring operation performance of large-scale wind turbine generator

A technology of operating performance and wind turbines, applied in the monitoring of wind turbines, wind turbines, engines, etc., can solve problems such as the inability to effectively identify abnormal or low-efficiency working conditions of the unit, and improve monitoring accuracy, ensure effectiveness, and monitor accuracy high effect

Active Publication Date: 2020-12-04
ZHEJIANG WINDEY
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Problems solved by technology

[0005] The present invention mainly solves the technical problem that the original power curve monitoring method cannot effectively identify the abnormal or low-efficiency working conditions of the unit in the actual operation process, and provides a large-scale wind turbine operating performance monitoring method, which is prone to low-efficiency data points The shape of the data scatter diagram of the accumulated wind speed range is used to divide the operation area, and the entire operation space is divided into the normal operation area and the inefficient operation area, and the operating performance of the unit is determined based on the two quantitative indicators of the area of ​​the inefficient area and the proportion of inefficient data Abnormal state

Method used

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  • Method for monitoring operation performance of large-scale wind turbine generator
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  • Method for monitoring operation performance of large-scale wind turbine generator

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Embodiment

[0054] Embodiment: A method for monitoring the operation performance of a large-scale wind turbine in this embodiment, such as figure 1 As shown, it includes four basic steps according to operation data acquisition and preprocessing, division of wind speed intervals, division of operation areas in different wind speed segments, and determination of operating status in different wind speed segments. The detailed description of each step is as follows:

[0055] S1, operation data acquisition and preprocessing

[0056] First, 5 data channels including real-time wind speed, active power, generator speed, unit operating status flag, and power-limiting flag are extracted from the historical database of the unit according to the evaluation period. The evaluation period is preferably 1-6 months. Data preprocessing includes two links: routine data screening and deep data cleaning.

[0057] Routine data screening filters the original sample data sequentially according to the following ...

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Abstract

The invention discloses a method for monitoring the operation performance of a large-scale wind turbine generator. The method comprises the following steps: 1, acquiring operation data and preprocessing data; 2, dividing wind speed intervals; 3, dividing an operation area; and 4, carrying out performance anomaly determination. According to the technical scheme, operation area division is conductedon a data scatter diagram shape of the wind speed interval where low-efficiency data points are prone to accumulation, the whole operation space is divided into a normal operation area and a low-efficiency operation area, and the abnormal state of the operation performance of a unit is judged based on two quantitative indexes of a low-efficiency regional area and the low-efficiency data proportion.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method for monitoring the operation performance of a large-scale wind turbine. Background technique [0002] According to the data, the wind power field usually uses the power curve as the main basis for evaluating the output performance of the unit, but the power difference curve obtained by the method of averaging the data bins according to the wind speed in the IEC61400-12-1 standard only represents the unit in the evaluation period. Due to the relatively small proportion of data, some abnormal working conditions are usually neutralized by a large amount of normal data during the power curve fitting process, or even forcibly eliminated in the data preprocessing stage, resulting in the loss of operating information. Therefore, methods based on traditional power curve monitoring cannot effectively identify abnormal or inefficient working conditions of the unit du...

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Application Information

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IPC IPC(8): F03D17/00
CPCF03D17/00
Inventor 王欣刘伟江周民强潘东浩
Owner ZHEJIANG WINDEY
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