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Wind power plant technical transformation demand systematic evaluation and prediction method

A forecasting method and technology of wind farms, applied in forecasting, motor generator testing, electrical measurement, etc., can solve problems such as inability to meet the technical transformation needs of wind farms, shorten the implementation cycle, correct or eliminate the deviation of measuring instruments, and avoid cycle time and cost effects

Pending Publication Date: 2021-10-29
HUANENG CLEAN ENERGY RES INST
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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for systematically assessing and predicting the technical transformation needs of wind farms, which solves the problem that the current technical transformation ideas cannot meet the technical transformation needs of wind farms

Method used

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Embodiment Construction

[0053] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0054] The invention discloses a method for systematically assessing and predicting demand for technological transformation of wind farms, which specifically includes the following processes:

[0055] S1. Taking the power generation efficiency of the wind turbines in operation in the wind farm as the research object, the time calibration of all measuring instruments in the wind farm is performed uniformly, and the measurement results are recorded using the same clock and sampling frequency, and the wind resource data of the wind farm and the wind turbines are collected. SCADA data.

[0056] The wind resource data of the wind farm includes wind speed, wind direction and turbulence intensity, and the SCADA data of the wind turbine includes the operating status of the unit, the orientation of th...

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Abstract

The invention relates to the technical field of wind power plant technical transformation management, in particular to a wind power plant technical transformation demand systematic evaluation and prediction method. The method combines wind resource numerical analysis with wind power plant data analysis by utilizing wind power plant wind resource data and wind generating set SCADA data, corrects or eliminates the deviation of a measuring instrument, effectively avoids the influence of wind resource fluctuations and surrounding environment changes; the problem of defining an incoming flow wind speed transfer function is solved statistically, the calculation difficulty of three-dimensional flow field numerical analysis of a wind generating set is avoided, and the period and the cost of high-altitude flow field three-dimensional wind resource measurement are avoided; the power generation efficiency attenuation condition of the wind generating set is effectively evaluated, and the time node of the technical transformation demand of the wind generating set is reasonably predicted; and the power generation efficiency attenuation condition of the wind generating set is evaluated, the technical transformation demand condition of the wind generating set is predicted, and a set of complete systematic evaluation and prediction method for the technical transformation demand of the wind power plant is formed.

Description

technical field [0001] The invention relates to the technical field of wind farm technical renovation management, in particular to a method for systematically evaluating and predicting wind farm technical renovation demand. Background technique [0002] With the popularization of large-scale application of wind power projects, the technology of wind farm micro-site selection, design and manufacture of wind turbines, wind turbine operation monitoring, and fault diagnosis of key components continues to iteratively improve. The problems include the following situations: 1) The volume and / or accuracy of wind resource data collected during the early development of wind farms is insufficient, which affects the feasibility of micro-site selection planning for wind turbines; 2) Changes in wind farm construction and other environmental factors lead to Attenuation of wind resource conditions causes wind turbines to fail to meet planning expectations for full operating hours; 3) Long-t...

Claims

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Application Information

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IPC IPC(8): G01M99/00G01R31/34G06Q10/04
CPCG01M99/008G01R31/343G06Q10/04
Inventor 郑磊卢坤鹏林伟荣袁晓旭
Owner HUANENG CLEAN ENERGY RES INST
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