A complex terrain wind field simulation method and system based on physical mechanism empowerment
By introducing physical consistency data filtering and feature engineering into wind field simulation in complex terrain, and combining a dedicated neural network architecture and a loss function with physical regularization terms, the problems of high computational cost and low physical reliability in existing technologies are solved, achieving efficient and accurate wind field simulation, which is suitable for wind energy assessment and grid wind resistance design.
CN121766220BActive Publication Date: 2026-05-29STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID JIANGXI ELECTRIC POWER CO LTD RES INST
- Filing Date
- 2026-03-05
- Publication Date
- 2026-05-29
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Figure CN121766220B_ABST
Abstract
The application discloses a complex terrain wind field simulation method and system based on physical mechanism empowerment, and the method comprises the following steps: obtaining target area digital elevation model data and WRF-CFD coupling simulation wind field data; screening high-quality training labels through terrain-wind field kinetic energy matching degree and other physical indexes; extracting and utilizing static terrain features weighted and optimized by terrain influence potential indexes, and dynamic inflow features from boundary conditions; constructing a hybrid neural network model, and training by using a loss function containing a physical constraint regularization term; and finally inputting a feature vector to output a high-precision wind field. The application deeply integrates physical mechanisms into data, features, models and loss functions, realizes the collaborative improvement of the simulation accuracy, efficiency and physical credibility of the complex terrain wind field, and is suitable for wind energy evaluation, power grid wind resistance design and other scenes.
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Citation Information
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