Wind power plant energy management method based on laser radar wind measurement
By deploying lidar equipment in wind farms and building three-dimensional dynamic models, combining deep learning and intelligent optimization algorithms, the shortcomings of wind conditions monitoring and prediction of coordinated operation of complex terrain and multi-wind farms are solved, and efficient wind energy utilization and stable power output are achieved.
Patent Information
- Application Number
- CN202411806993.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-03-28
AI Technical Summary
In the conditions of coordinated operation of complex terrain and multi-wind farms, the existing technology has insufficient wind condition monitoring accuracy, low real-time and accuracy of short-term wind energy prediction, low dynamic scheduling efficiency of the fan, and incomplete functions of abnormal wind condition identification and equipment fault diagnosis.
The wind farm energy management method based on lidar wind measurement is adopted, including deploying lidar equipment to collect wind speed, wind direction and turbulence data, constructing a three-dimensional dynamic model of the wind field, using deep learning models to predict short-term wind energy, and optimizing the charge and discharge behavior of fan scheduling and energy storage systems through intelligent optimization algorithms.
It realizes efficient monitoring and prediction of wind speed, wind direction and turbulent distribution under complex wind conditions, improves wind energy utilization and power output stability, and reduces wind farm operation risks and maintenance costs.