Abstract: By defining the active power flow coefficient based on the output power of traditional generators, the unified scheduling of wind farm-pumped storage stations is carried out. The power consumption strategy of wind power is determined by the ratio of this coefficient to the output power of the wind farm. A pumped storage station power generation optimization scheduling model is established with the objective function of minimizing the fluctuation of traditional generator output power. The system is optimized using the African wild dog algorithm with Gaussian mutation operator, and a dynamic iteration step is added to the algorithm to accelerate the iteration speed in the early stage and enhance the calculation accuracy in the later stage. By comparing simulation results, the effectiveness and feasibility of the optimization operation strategy proposed in the article in system operation have been confirmed.

Key words: power flow, pumped storage power station, optimization scheduling, African wild dog algorithm, Gaussian mutation operator