Filling the gap in the industry: China's first wind turbine power curve AI model is officially launched

According to the official public account of National Energy Voice, Longyuan Electric Power Engineering Technology Company recently launched the first domestic wind turbine power curve image recognition AI model. Officials stated that the launch of this model has enabled the automation and intelligence of wind turbine power curve characteristic analysis and screening, filling a gap in the industry

The content that needs to be rewritten is: ▲ Picture source National Energy Voice official public account

After inquiry, we learned that the wind turbine power curve is an important indicator for evaluating the power generation capacity and performance of the unit. Abnormal power curves not only cause power loss, but also reduce the device's power generation efficiency and shorten the operating cycle of components. At present, conventional power curve screening methods rely on the personal experience of professionals, are inefficient and have uneven accuracy

According to reports, Longyuan Electric Power Engineering Technology Company collected and annotated tens of thousands of pictures of typical power curve anomalies and used mainstream image recognition models to independently train AI models. By continuously optimizing the model algorithm and adjusting the first-order and second-order optimization functions, we successfully identified 8 typical problems in the power curves of different types of wind turbines

The content that needs to be rewritten is: ▲ Picture source National Energy Voice official public account

In addition, the company also applies the model to other control maps of wind turbines, establishing related models and continuously iterating. After three months of experimental verification of station operation data, the model detected 1,860 abnormal units among nearly 14,000 wind turbine units, with an accuracy rate of more than 80% and a work efficiency increase of more than 3 times.

According to officials, this technology has realized the application of image recognition technology in the field of wind turbine power curve screening analysis for the first time. It can automatically display analysis results, improve the location speed and fault analysis efficiency of problem units, and provide strong support for improving the power generation performance of equipment and promoting intelligent operation and maintenance of stations

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