A wind speed profile modeling method, device, equipment and storage medium of a wind farm

By introducing the additional eddy viscosity coefficient of the wind farm and the eddy viscosity coefficient of the environmental turbulence, and combining the assumption of a semi-infinite wind farm, the wind speed profile model is dynamically corrected, which solves the problem that the influence of wind farm wake is difficult to accurately characterize in the existing technology, and achieves high-precision wind speed prediction and model adaptability.

CN122153222APending Publication Date: 2026-06-05NORTH CHINA ELECTRIC POWER UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
NORTH CHINA ELECTRIC POWER UNIV
Filing Date
2026-01-15
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing wake research schemes for wind farms are insufficient to fully reflect the overall impact of upstream wind farms on downstream wind farms, and their applicability and accuracy are inadequate, especially in wind speed prediction at different hub heights.

Method used

By constructing a wind speed profile model of a wind farm, introducing the additional eddy viscosity coefficient of the wind farm and the eddy viscosity coefficient of environmental turbulence, and combining the assumption of a semi-infinite wind farm, momentum analysis is performed at the hub height, and a dynamic correction function of integral constant is constructed to correct the initial wind speed profile model, thereby improving the model's accuracy and applicability.

Benefits of technology

It achieves an accurate description of the wake recovery process, improves the accuracy of wind speed prediction at different downstream locations, adapts to wind farms with different capacities and layout conditions, and has theoretical universality and engineering feasibility.

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Abstract

Embodiments of the present disclosure provide a wind farm wind speed profile modeling method, device and equipment and storage medium, relating to the technical field of wind farms, comprising: representing the vertical momentum flux of the momentum equation as the vertical gradient form of the average wind speed, constructing the ordinary differential equation of the wind speed changing with the height, integrating the ordinary differential equation to construct the initial wind speed profile model; constructing the total eddy viscosity coefficient based on the environmental turbulence eddy viscosity coefficient and the wind farm additional eddy viscosity coefficient; based on the semi-infinite wind farm assumption, performing momentum analysis at the hub height of the wind turbine to construct the dynamic correction function of the integral constant; correcting the eddy viscosity coefficient of the initial wind speed profile model by using the total eddy viscosity coefficient, correcting the integral constant of the initial wind speed profile model by using the dynamic correction function of the integral constant, and obtaining the wind farm wind speed profile model. The present application can improve the model precision.
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