Research on Frequency Support Technology of Offshore Wind Farm Based on Improved Grey Wolf Algorithm

The power grid may experience a decrease in frequency response capabilities and encounter issues such as secondary frequency drops and wind turbines over-responding when large-scale offshore wind farms are integrated. This can have a serious impact on the stability of high-proportion renewable energy power systems. To address this problem, a coordinated control strategy that employs an improved droop control, power-based virtual inertia control, and the grey wolf algorithm is proposed in this paper. The strategy optimizes droop control tuning coefficients for various wind speed settings, improves control accuracy, enhances droop characteristics of wind turbines, reduces frequency overshoot during frequency regulation, and effectively tackles the issue of slow response that leads to frequency drop in the initial stages of frequency disturbance when traditional droop control is employed. This strategy serves as technical support for the development of a new power system that relies heavily on renewable energy.