Research on energy storage configuration for power stabilization of photovoltaic power stations

To reduce the negative impact of power fluctuation of photovoltaic power stations (PPS) on power grid, energy storage system (ESS) is often introduced to smooth out their output power fluctuations. Considering that integrating ESS increases the investment costs of PPS, an ESS capacity configuration method is proposed to stabilize the power fluctuation of PPS. The method employs a photovoltaic random output model based on Latin hypercube sampling and a scenario reduction approach based on probabilistic distance to handle the uncertainty of PPS outputs. Comprehensively consider the various costs of ESS, an optimized operation model for PPS energy storage systems is established. This model aims to minimize the total lifecycle cost of the ESS while ensuring that the PPS meets grid connection requirements. Taking the measured data of a domestic PPS as an example, the simulation is carried out to complete the optimal capacity configuration of ESS.