The charging and discharging balance control strategy of power batteries for hybrid energy storage

This paper proposed an improved particle swarm optimization (PSO) algorithm for the variable parameter power difference charging and discharging strategy of battery energy storage system (BESS). The charge and discharge power of the BESS under different load intervals and state of charge (SOC) intervals are distributed, and the objective functions of peak shaving and valley filling standard deviation and minimum SOC off-line rate are established. The simulation model of peak shaving and valley filling is built, and the results show that the standard deviation of peak shaving and valley filling reduced by 22.58% compared with PSO. The effectiveness and feasibility of the improved PSO are verified.

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The charging and discharging balance control strategy of power batteries for hybrid energy storage

Cited by 4 publications

References 12 publications

Research on Key Technologies of Energy Storage in Photovoltaic/Battery MicroGrid

Research on Key Technologies of Energy Storage in Photovoltaic/Battery MicroGrid

A PCH strong tracking control strategy for power coordinated allocation of Li-SC HESS

Research on variable parameter power differential charge–discharge strategy of energy storage system in isolated island operating microgrid

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