Home energy storage power supply configuration
Most home energy storage systems provide partial backup power during outages. These smaller systems support critical loads, like the refrigerator, internet, and some lights.
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.
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.
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.
Residential loads and energy storage batteries consume PV power to the most extent. If there is still remaining PV power after the energy storage is fully charged, it is connected to the power grid. When the PV output is insufficient, the energy storage battery supplies power to the residential loads.
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