Energy Storage Stochastic Optimization Planning Considering Dynamic Frequency Constraints

The high proportion of new energy sources poses severe challenge to flexible regulation ability and safe operation of power system. Energy storage system as a flexible resource will play a more important role, so this paper proposes an energy storage planning method considering dynamic frequency constraints. The proposed model is a scenario-based two-stage stochastic MILP model. Fully considering the uncertainty of wind power, the first stage is to optimize the location and capacity of ESS; in the second stage, frequency requirement constraints are modelled to ensure frequency safety and power system operation strategies are optimized to minimize system operation cost. The model is tested on a modified IEEE39 system. Results indicates that energy storage planning considering dynamic frequency constraints can significantly ensure frequency safety of power system with high proportion of new energy sources.