Research on Improved Droop Control Strategy for Primary Frequency Regulation of Doubly-fed Wind Turbine Based on Gray Wolf Algorithm

Under the background of the dual-carbon strategy, the penetration rate of wind power is high, and the large-scale grid connection of wind power leads to a decrease in system frequency response capability, which can easily cause problems such as a secondary drop in system frequency or excessive response of wind turbines, which seriously affects system stability. A variable droop adjustment coefficient control method for doubly-fed wind turbines participating in the primary frequency regulation of the power grid based on the gray wolf optimization algorithm is proposed. It can adjust and optimize the droop control coefficients of the doubly-fed wind turbines for different wind speeds and improve the control accuracy. To improve the droop characteristics of wind turbines, reduce the frequency overshoot in the frequency modulation process, and effectively avoid the secondary frequency drop, providing technical support for the construction of a new power system with new energy as the main body.