Wind turbine generator performance analysis method and system

A technology for wind turbines and analysis methods, applied in electrical digital data processing, instruments, design optimization/simulation, etc., can solve problems such as large manual workload, large number of units, and inability to standardize diagnosis conclusions

Pending Publication Date: 2020-04-24
LONGYUAN BEIJING WIND POWER ENG TECH
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Problems solved by technology

At present, it is common in the industry that the performance of wind turbines seriously deviates from the design curve for a long period of time. The commonly used method is to carry out spot checks along with regular inspections. Pain points that are large, cannot be standardized in diagnostic conclusions, cannot distinguish between normal control and deterioration, and are difficult to generalize in diagnosis

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  • Wind turbine generator performance analysis method and system
  • Wind turbine generator performance analysis method and system
  • Wind turbine generator performance analysis method and system

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Embodiment Construction

[0022] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0023] This invention is a model for early warning of unit performance degradation based on online and offline batch SCADA data through the application of mathematical algorithms and wind power curve analysis experience, combined with the basic technology of image recognition. The accuracy and versatility of the model meet the needs of the site.

[0024] The wind turbine degradation identification model scheme focuses on microcosmic and macroscopic aspects, combines spatio-temporal information, starts from microcosmic single unit degradation point identification, captures power generation differences between units by using wind field information, and monitors and comp...

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Abstract

The invention provides a wind turbine generator performance analysis method and system. The method comprises the following steps: identifying abnormal conditions of wind speed power curve data by using an image identification algorithm and a clustering algorithm so as to distinguish the wind speed power curve data into normal curve data and degradation curve data; identifying different degradationpatterns in the degradation curve data by identifying degradation progression on the curve characteristics; extracting features of normal curve data, and constructing feature information of transverse comparison; through comparison of the degradation curve data and the characteristic information and guidance of priori knowledge, analyzing reasons causing data degradation of the degradation curvedata. According to the wind turbine generator performance analysis method and system provided by the invention, the mathematical algorithm and the wind power curve analysis experience are applied, thebasic technology of image recognition is combined, a model for carrying out unit performance degradation early warning based on on-line and off-line batch SCADA data is provided, and the accuracy anduniversality of the model meet the field requirements.

Description

technical field [0001] The invention relates to the technical field of wind power systems, in particular to a performance analysis method and system for a wind power unit. Background technique [0002] Automatic early warning of wind turbine performance degradation is the main development direction for power companies to adapt to the market economy, reduce power generation costs, and improve economic benefits. At present, it is common in the industry that the performance of wind turbines seriously deviates from the design curve for a long period of time. The commonly used method is to carry out spot checks along with regular inspections. Big, the diagnostic conclusions cannot be standardized, the normal control and deterioration cannot be distinguished, and the diagnosis is difficult to generalize. [0003] Therefore, in combination with actual development needs, it is urgent to complete the development and deployment of wind turbine performance degradation automatic diagno...

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Application Information

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IPC IPC(8): G06F30/20G06F119/02
Inventor李韶武朱耀春王灿王玉婷池逸初
OwnerLONGYUAN BEIJING WIND POWER ENG TECH