A method for controlling the pitch angle of wind turbines based on dynamic changes in wind speed and direction.

By constructing a three-dimensional parameter table of wind speed, yaw error, and pitch angle and iterating it online, the dynamic response problem of pitch control of wind turbine generators was solved, achieving high-efficiency and low-cost power generation efficiency and load optimization, and improving the control accuracy and safety of the unit.

CN117028151BActive Publication Date: 2026-07-17GUODIAN NANJING AUTOMATION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUODIAN NANJING AUTOMATION
Filing Date
2023-09-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing pitch control strategies for wind turbine generators lack dynamic response to wind speed and direction, resulting in low control accuracy, reduced generator power generation performance, increased load on key components, and problems such as high hardware costs, unreliable data, or unbalanced optimization in existing algorithms.

Method used

A database was built using simulated unit operating data. An optimization function was constructed with power generation efficiency and load as objectives. A three-dimensional parameter table of wind speed, yaw error and pitch angle was generated offline. The pitch angle was optimized through online linear iteration of parameters to achieve dynamic response.

Benefits of technology

It enables real-time response to changes in wind speed and direction, improves unit control accuracy, balances power generation and load, reduces hardware dependence and optimization costs, and enhances power generation performance and safety.

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Abstract

This invention proposes a wind turbine pitch angle control method based on dynamic changes in wind speed and direction, relating to the field of motor control. The method includes: building a turbine operation database using simulated turbine operating data; constructing a multi-objective optimization function with power generation efficiency and load as objectives; performing offline training based on the operating database and the multi-objective optimization function to generate a three-dimensional parameter table of wind speed, yaw error, and pitch angle; and optimizing the offline-generated three-dimensional parameter table online through linear iteration to obtain the optimal pitch angle under different wind speeds and yaw errors. This invention effectively solves the problem of pitch control lacking dynamic response to wind speed and direction, enabling coordinated optimization of turbine power generation efficiency and load, avoiding a singular control objective, reducing the frequency of pitch operations, decreasing fatigue load on the pitch bearings, and increasing turbine lifespan.
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