Output Power Optimization of Photovoltaic and Energy Storage Hybrid System Based on Fuzzy Control Algorithm

Aiming at the power allocation problem of multiple energy storage converters in existing photovoltaic and energy storage hybrid systems, an optimized output power strategy for photovoltaic and energy storage hybrid systems based on a fuzzy control algorithm is proposed. This strategy formulates corresponding fuzzy sets and membership functions based on the relationship between the transmission power of energy storage converters and the health characteristics of batteries. Using fuzzy control algorithm, when the temperature of the energy storage unit is lower than or higher than the preset warning temperature, the strategy combines the aging law and the health factor coefficient of the energy storage unit to optimize power distribution. This effectively reduces energy losses in the energy storage units and extends battery life. Simulation results show that, compared with traditional control strategies, the proposed strategy can slow down the aging rate of batteries by 19.1% under the same energy storage capacity consumption, and effectively mitigate the rapid temperature rise and energy loss of energy storage units. Overall, it enhances the safety and economy of the photovoltaic and energy storage hybrid system.