However, the configuration of energy storage for household PV can significantly improve the self-consumption of PV, mitigate the impact of distributed PV grid connection on the distribution network, ensure the safe, reliable and economic operation of the power system, and have good environmental and social benefits.
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 .
Energy storage systems (e.g. BESS) and renewable energy resources (e.g. PV system) are the other options to deal with energy management at homes .
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.
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.
If there is surplus energy after instantaneous demand is met within the dwelling and battery storage is filled, the excess capacity for energy storage within the hot water tank is calculated based on the set point and the position of the immersion heater thermostat connected to the diverter.