Wind turbine frequency support control method and device based on comprehensive gain coefficient

Through the frequency support control method of comprehensive gain coefficient, the inertia response and speed recovery coefficient are dynamically adjusted, which solves the problems of insufficient frequency support capacity and secondary frequency drop of wind turbines, and achieves the improvement of frequency stability and economic benefits.

CN120613756BActive Publication Date: 2025-10-10QINGDAO UNIV OF TECH
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Patent Information

Application Number
CN202511093052.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-06
Publication Date
2025-10-10
Estimated Expiration
2045-08-06

AI Technical Summary

Technical Problem

The existing wind turbines have insufficient frequency support capabilities in frequency support control and are prone to secondary frequency drops during speed recovery, affecting grid stability and economic benefits.

Method used

A frequency support control method based on the comprehensive gain coefficient is designed. By dynamically adjusting the inertia response coefficient and the speed recovery coefficient, combined with the fuzzy controller and PI control, the frequency support and speed recovery strategies of the wind turbine are optimized to achieve efficient utilization of the rotor kinetic energy and frequency stability.

Benefits of technology

It significantly increases the lowest frequency point, avoids secondary frequency drops, improves the frequency support capability and operational stability of wind turbines, and ensures economic benefits.

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Abstract

The application relates to the technical field of variable-speed wind turbine control, and discloses a wind turbine frequency support control method and device based on a comprehensive gain coefficient, which comprises the following steps: S1, frequency support: at least one frequency support control mode is designed, and an inertia response coefficient is designed under the frequency support control mode; S2, speed recovery: at least one speed recovery strategy is designed, and a speed recovery coefficient is designed based on fuzzy logic in the speed recovery strategy; S3, a comprehensive gain coefficient is designed according to the inertia response coefficient and the speed recovery coefficient, the speed tracking error is redefined based on the comprehensive gain coefficient, and a generator torque instruction is generated based on the speed tracking error by adopting a PI control mode. The application fully utilizes rotor kinetic energy to provide frequency support, simultaneously avoids the instability risk of the wind turbine caused by excessive deceleration, fully excavates the frequency support capability of the wind turbine, and effectively avoids the secondary frequency drop while significantly improving the minimum frequency.
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