Demand for Energy Storage: Case Studies for Chinese Power System in 2035 and 2050

Abstract

It is an inevitable trend that renewable energy source will dominate the future power supply. Large-scale energy storage (ES) has proven to be the most feasible solution for system reliability reduction caused by extensive renewable integration. Therefore, the prediction of storage scale for future power systems attracts great attention in recent years. In this paper, the demand of ES for two assumed scenarios of the power system in China are analyzed with delicate modeling and time series simulation. The two scenarios correspond to the power systems of China in 2035 and 2050, respectively. In the study, the system is simplified and a commercial software, namely Hybrid Optimization of Multiple Energy Resources (HOMER), is adopted for the system modeling. The simulation results are illustrated and analyzed to verify the reasonability of the estimation.