Research on Optimal Allocation Method of Secondary Frequency Modulation Capacity of Battery Energy Storage Based on Antlion Algorithm

[Purposes] At present, the high proportion of new energy connected to the power system leads to severe challenges to its frequency stability and power quality. In order to solve the problem of capacity size when the energy storage battery system assists the power grid in frequency modulation, a capacity optimization configuration model for energy storage secondary frequency modulation is proposed, and then the Antlion optimization algorithm is used to optimize and solve the parameters of the model. [Methods] Since a large number of actual parameters were required for optimizing the configuration model, an energy storage output simulation model was constructed on the basis of the characteristics of secondary frequency regulation to provide parameters for the optimization configuration model. Afterwards, considering the basic action output and a certain capacity margin, a secondary frequency regulation output model for energy storage was established, and the Antlion algorithm was used to solve the optimized configuration model. [Results] Three sets of experiments are designed for comparative analyses to demonstrate the effectiveness of the proposed method in setting capacity margin, which can increase revenue to a certain extent and provide a method for stabilizing the power grid frequency after the new energy integration.