Wind turbine generator clearance risk detection method and device based on wake flow influence
By obtaining wind measurement data and terrain data of the wind farm, establishing a simulation model of the wind turbine unit, and using the speed fitting model and wake model to calculate the distribution of wind speed with height, it solves the problem that it is difficult for the existing technology to accurately evaluate the wind resources of large-scale fans, and realizes the detection of clearance risks and performance of the wind turbine unit.
CN119647338APending Publication Date: 2025-03-18GUODIAN UNITED POWER TECH
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Patent Information
- Application Number
- CN202411790178.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-06
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
The prior art is difficult to accurately evaluate the wind resources of large-scale fans, resulting in increased safety hazards of wind turbines and limited performance improvement.
Method used
By obtaining wind measurement data and terrain data of the wind farm, a simulation model of the wind turbine is established, and the preset speed fitting model and wake model are used to calculate the distribution of wind speed with height, determine the wind shear value, and generate a headroom risk alarm.
Benefits of technology
It has achieved a systematic assessment of the clearance risks of various machine sites in the wind farm, reduced the safety risks of wind turbines, and improved the performance of the unit.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a wind turbine generator clearance risk detection method and device based on wake flow influence, and relates to the technical field of wind turbine generator wake flow simulation, and the method comprises the steps: obtaining the wind measurement data of a target wind power plant, and obtaining the topographic data of the target wind power plant and the position information of each wind turbine generator in the target wind power plant; determining the associated wind turbine generator of each wind turbine generator according to the wind measurement data and the position information of each wind turbine generator, and establishing a simulation model of each wind turbine generator; based on the wind measurement data, the predicted wind speed of each wind turbine generator is determined through a preset speed fitting model, and based on the predicted wind speed, the simulation model of each wind turbine generator is calculated through a preset wake flow model, so that the distribution of the wind speed of each wind turbine generator in the target wind power plant along with the height is obtained. The clearance risk of the wake flow area unit can be effectively monitored, the potential safety hazard of the wind turbine unit is reduced, and the unit performance is improved.
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