A wind turbine control parameter setting method for improving frequency response capability

By calculating the equivalent virtual inertia time constant and active power reference value of the wind turbine, a variable coefficient control strategy was designed to solve the frequency stability problem caused by the reduction of wind turbine inertia, thereby improving the frequency response capability and system stability of the wind turbine.

CN115882524BActive Publication Date: 2026-07-07STATE GRID JIANGSU ELECTRIC POWER CO LIANYUNGANG POWER SUPPLY CO +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID JIANGSU ELECTRIC POWER CO LIANYUNGANG POWER SUPPLY CO
Filing Date
2022-11-18
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

After a high proportion of wind turbines are connected to the grid, the inertia of the turbines decreases, which leads to a decrease in frequency stability. Existing control methods may cause the wind turbines to deviate from their maximum power point, affecting economic operation and resulting in poor frequency regulation.

Method used

By calculating the equivalent virtual inertial time constant and active power reference value of the wind turbine, a variable coefficient control strategy based on the effective energy storage of the wind turbine is designed to optimize the control parameters of the wind turbine and improve its frequency response capability.

Benefits of technology

Fully utilize the kinetic energy of the wind turbine rotor to participate in system frequency regulation, reduce secondary frequency drops, improve the frequency response capability of the wind turbine, and ensure stable system operation.

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    Figure CN115882524B_ABST
Patent Text Reader

Abstract

The application discloses a wind turbine control parameter setting method for improving frequency response capability, comprising the following steps: determining the expression of the wind turbine capture power and the rotor speed in the frequency modulation process; calculating the effective energy storage of the wind turbine according to the wind turbine capture power and the rotor speed; calculating the equivalent virtual inertia time constant of the wind turbine according to the effective energy storage; setting the power reference value of the wind turbine speed recovery stage when the wind turbine ends the frequency modulation and enters the speed recovery stage; and designing the control strategy of the wind turbine participating in the whole frequency modulation process based on the equivalent virtual inertia time constant and the active power reference value. The wind turbine proportional control coefficient and integral control coefficient participating in the frequency modulation are set based on the effective energy storage of the wind turbine, so that the rotor kinetic energy of the wind turbine can be fully utilized to participate in the system frequency regulation and improve the lowest frequency point, the secondary frequency drop when the wind turbine exits the frequency modulation can be reduced, and the frequency response capability of the wind turbine is improved.
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