Research on optimal configuration of novel distributed energy storage considering the impact of charging and discharging strategy on energy storage life
Considering the important role energy storage operating life has in investment decision process and its complex relationship with charging/discharging strategy and depth of discharging, this paper proposes a novel optimal configuration method for energy storage system considering the impact of charging and discharging strategy on energy storage life. Firstly, the calculation method of annual equivalent rated discharge of energy storage is established according to the relationship between discharging depth and energy storage life and cycle number. Secondly, an optimal battery energy storage configuration model considering the impact of charging and discharging strategy on energy storage life is established to ensure the design service life of energy storage while maximizing the net income of energy storage in the whole life cycle. Furthermore, the improved multi-population genetic algorithm is proposed to optimize the solution, which improves the solution speed and convergence. Finally, the proposed method is simulated with modified IEEE-39 node test system, and simulation results demonstrate the effectiveness of the proposed method.