Wind farm performance analysis and evaluation method based on big data

Through the wind farm performance analysis and evaluation method based on big data, the operating data of each fan in the wind farm is integrated, the fan performance index is calculated, and the trend analysis is carried out in combination with historical data, the problem of the singularity of wind farm performance evaluation and the lack of comprehensive analysis of historical data in the existing technology is solved, and the effect of multi-dimensional comprehensive evaluation and abnormal cause determination is achieved.

CN119337293BActive Publication Date: 2025-03-18DATANG LIANGSHAN NEW ENERGY CO LTD
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Patent Information

Application Number
CN202411878182.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-03-18
Estimated Expiration
2044-12-19

AI Technical Summary

Technical Problem

The existing technology has a single nature in the performance evaluation of wind farms. It has failed to effectively integrate the operating data of each fan in the wind farm, and lacks a comprehensive analysis of the historical data of the fan, so it is impossible to further explore and analyze the reasons when the fan performance is abnormal.

Method used

The wind farm performance analysis and evaluation method based on big data is adopted, and through steps such as data acquisition, performance analysis, performance evaluation and historical synthesis, the operating data of each fan in the wind farm is integrated, the fan performance index is calculated, and the trend analysis is carried out in combination with historical data to identify performance abnormalities and determine the cause.

Benefits of technology

A multi-dimensional comprehensive evaluation of the performance of each fan in the wind farm has been achieved, and the shortcomings of single evaluation indicators in the existing technology have been overcome. In-depth analysis of the fan performance is abnormal, the cause of the abnormality is determined, and the operation efficiency and decision-making accuracy of the wind farm have been improved.

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Abstract

The present invention discloses a wind farm performance analysis and evaluation method based on big data. In the performance analysis stage of the wind turbine, the present invention evaluates the performance of the wind turbine from multiple dimensions, reads the operating parameter information of each row in the data matrix, calculates the stability score and the performance score for the power output data, and measures the performance of the wind turbine power output from different angles. At the same time, the power factor data is analyzed to obtain the conversion score. Finally, the stability score, the performance score and the conversion score are normalized and weighted to obtain the wind turbine performance index. This multi-dimensional comprehensive analysis overcomes the deficiency of the prior art in that the wind farm wind turbine performance evaluation indicator is single.
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