<p>Wind energy, as one of the current renewable energy sources, holds significant exploitation value. However, wind turbines are significantly affected by weather conditions, leading to frequent fluctuations in their output power, which poses substantial challenges to system stability. While traditional inertia control methods are widely applied in frequency regulation for wind power systems, they also face several critical limitations. Building upon the conventional inertia-based coordinated wind-storage frequency regulation framework, outside the frequency regulation dead zone, wind turbines operate with fixed-inertia frequency regulation, while the energy storage system employs a fuzzy logic-based adaptive virtual inertia coefficient. Then dynamically allocates wind-storage output weights using a fuzzy logic controller based on real-time wind speed measurements. Within the frequency regulation dead zone, a recovery strategy is implemented for the energy storage system to achieve optimal SOC restoration at minimal cost. Finally, simulation studies were conducted to validate the effectiveness of the proposed method.</p>