Yuan et al. proposed a PV and energy storage optimization configuration model based on the second-generation non-dominated sorting genetic algorithm. The results of the case analysis show that the optimized PV energy storage system can effectively improve the PV utilization rate and economy of the microgrid system.
In addition, in order to further improve the energy utilization rate and economic benefits of household PV energy storage system, practical and feasible targeted suggestions are put forward, which provides a reference for expanding the application channels of distributed household PV and accelerating the development of distributed energy.
Scenario 4 is that the household PV system is configured with energy storage. The operation mode is that the PV is self-generation and self-consumption, and the surplus PV power is connected to the grid.
The operation mode is that the PV is self-generation and self-consumption, and the surplus PV power is connected to the grid. According to the optimized configuration results of energy storage under the grid-connected mode, the detailed operation of the household PV storage system in each season in Scenario 4 is shown in Fig. 21, Fig. 22, Fig. 23.
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