Wind turbine generator active support control method and system based on frequency adjustment

By constructing a frequency situation prediction model and calculating backup capacity, the problem of insufficient feature extraction capability in the active frequency support control of wind turbines is solved, and the response speed and frequency regulation capability of wind turbines are improved.

CN119696076AActive Publication Date: 2025-03-25DIANKE NEW ENERGY TECH CO LTD +2
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Patent Information

Application Number
CN202510192617.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-21
Publication Date
2025-03-25
Estimated Expiration
2045-02-21

AI Technical Summary

Technical Problem

In the existing active frequency support control methods of wind turbine units, the fan linearized model has relatively limited feature extraction capabilities and cannot effectively extract key features related to frequency shortages, resulting in poor model effectiveness, real-timeness and response speed.

Method used

The active support control method of wind turbine units based on frequency adjustment is adopted. By constructing a frequency situation prediction model, a multi-layer perceptron, a sparse autoencoder, a variable convolution attention module and a flexible trigger mechanism are used to predict the frequency situation of the power grid, and the backup capacity at the power fluctuation point is calculated to generate an active support strategy.

Benefits of technology

Effectively extracting key features related to frequency shortages, improving the primary frequency modulation capability and response speed of the wind turbine actively support control, and overcoming the problems of poor effectiveness, real-timeness and response speed in the existing methods.

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Abstract

The invention discloses a wind turbine generator active support control method and system based on frequency adjustment, belongs to the technical field of wind power generation, and solves the problems that a fan linearization model is poor in effectiveness, real-time performance and response speed due to the fact that an existing method cannot effectively extract key features related to frequency vacancy. The method comprises the following steps: acquiring day-ahead wind turbine generator output data and power grid power parameters of a power system, identifying and analyzing the day-ahead wind turbine generator output data and the power grid power parameters based on a frequency situation prediction model, and calculating overspeed control-based reserve capacity at a power fluctuation point by taking energy conversion efficiency and primary frequency modulation as constraints; according to the method, the frequency situation prediction in the prediction period is realized by constructing the frequency situation prediction model, the power fluctuation point in the prediction period and the power fluctuation value at the power fluctuation point are determined based on the frequency prediction set, and key features related to frequency vacancy are effectively extracted. And the primary frequency modulation capability and the response speed of active support control of the wind turbine generator are ensured.
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