A double-layer optimization site selection method for energy storage with grid-forming demand in novel power system is proposed

which considers the response of energy storage to peak shaving and frequency regulation in the power system and establishes a multi-objective double-layer optimization model. The operation layer counts the wind and solar power abandonment and network losses into the economic penalty

and takes the optimal annual operating cost of the system as the objective

considers the benefits of peak shaving and frequency modulation. The planning layer evaluates the security of the system and models the system by taking the optimal comprehensive annual operating cost of the system as the objective. Simulation and analysis of the algorithms are carried out using the improved empire competition algorithm. The peaking and frequency regulation economics and energy storage siting in the optimal scenario are illustrated through multi-scenario comparisons. Finally

the IEEE-33 node arithmetic system is simulated and analyzed to verify the validity of the proposed model.Furthermore

uncertainty factor indicators are selected to conduct sensitivity analysis on total costs

and the indicators that need more attention to affect economic costs are determined.