The intermittence and randomness of wind speed often lead to the fluctuation of wind turbine output power especially when operating in high wind speed areas. In this paper, a holistic framework of error-based ADRC for wind turbine is proposed to achieve the output power regulation, by designing an extended state observer and parameter optimization to estimate and compensate the total disturbances. A stability theorem of closed-loop system with error-based ADRC is proposed by the Lyapunov function, and the feasible region of the controller parameters is deduced accordingly. To achieve the best performance of error-based ADRC, the optimal solution of the controller parameters is determined by the proposed Aquila Optimizer fused Golden Sine Algorithm. Finally, the superiority of proposed control strategy is verified by simulation tests on a 5MW OpenFAST wind turbine. Compared with the traditional control methods adopted in the industry, the error-based ADRC has excellent regulation rapidity and power stability for constant power control of wind turbine.