The capacity configuration of energy storage system has an important impact on the economy and security of PV system . Excessive capacity of energy storage system will lead to high investment, operation and maintenance costs, while too small capacity will not fully mitigate the impact of PV system on distribution network.
The energy storage system alleviates the impact of distributed PV on the distribution network by stabilizing the fluctuation of PV output power, and further improves the PV power self-consumption rate by discharging . The capacity configuration of energy storage system has an important impact on the economy and security of PV 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.
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.
Model solving At present, intelligent algorithms, such as genetic algorithm, whale optimization algorithm, simulated annealing algorithm and particle swarm optimization algorithm (PSO), are often used to solve energy storage optimal configuration problems.
According to the “Research Report on Household Energy Storage Industry” (2022), the life cycle of energy storage is 10 years, the unit capacity cost is 175 $/kWh, and the unit power cost is 56 $/kW. The installation cost of energy storage has been included in the initial investment.
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