A study of power storage configurations in residential communities in multiple scenarios accounting for battery degradation

Abstract

Abstract The peak and valley load differences in residential communities are large, and there is a timing difference between the peak hours of load and photovoltaic power generation. As a result, power storage system deployment can employ photovoltaic output to lessen peak and valley load discrepancies. To make power storage design in residential areas more feasible, the research initially examines the influence of charging and discharging rate and depth on the life of power storage batteries to develop a dynamic loss model for power storage batteries and estimate the operational life of the system; secondly, as the goal function, the largest yearly net revenue is used to optimize the optimization of the power storage system; finally uses particle swarm algorithm to simulate the power storage system in residential communities under different operational scenarios. The results indicate that the residential district power storage system is more effective in the grid-connected scenario and validate the reasonableness and effectiveness of the model used, providing a reference for the planning and construction of residential district power storage systems.