Capacity optimization of shared energy storage for renewable energy stations considering frequency regulation constraints

Abstract

Abstract A sizing method for minimized cost is proposed to optimize the capacity configuration of centralized shared energy storage in new energy-gathering areas. The energy storage system can respond to the Secondary Frequency Regulation (SFR) of the power grid while assuming Primary Frequency Regulation (PFR) obligations. The study generated output and frequency from historical data and established a mixed integer linear optimization configuration model that conforms to PFR and SFR. The results of simulation analysis show that the proposed method meets the Frequency Regulation (FR) requirements of 95.7%. Compared to the self-allocated energy storage, the cost is reduced by 1.4%. The configuration size meets the energy storage grid connection standard, and it can reduce costs and achieve better economic benefits.