Abstract: At present, the integration of large-scale offshore wind power through multiple landing points has become an important trend in the development of the receiving power grid. However, traditional methods are difficult to accurately evaluate the overall fluctuation characteristics of wind power clusters, resulting in a lack of precise basis for the formulation of operational strategies. Therefore, a coordinated control strategy for active power in the receiving grid of large-scale offshore wind power with multiple landing points is proposed. Firstly, a uncertainty scenario generation model based on R-vine Copula was constructed to address the spatial correlation of multiple wind farm outputs. The model accurately characterizes its nonlinear and asymmetric dependencies through kernel density estimation, providing precise inputs for subsequent optimization control. Then, a probability risk assessment system was established, which includes three core indicators: frequency limit exceeding, line overload, and wind curtailment rate. The comprehensive operational risk of the system under wind power fluctuations was quantified. On this basis, the crested porcupine optimizer is introduced with the weighted sum of three risk indicators as the optimization objective to globally optimize the system operation strategy, effectively balancing safety and economy. Finally, the simulation results show that the proposed method can significantly reduce the key risk indicators of the system, improve the power grid's ability to absorb and operate high proportion new energy, and provide an effective solution for the safe and stable operation of the receiving end power.