Power allocation strategy for Energy Storage Systems that takes into account lifetime losses

To address the problem of uneven power distribution affecting the lifetime of a scaled energy storage system composed of multiple LFP batteries in parallel, an improved MODBO algorithm-based power allocation strategy for energy storage systems is proposed. First, a lifetime degradation model with a loss factor is introduced; The optimization objective function is established under the constraints of state of charge and power balance; Second, the fish hawk exploration strategy, genetic factor, Levy flight strategy, and mirror reflection inverse learning strategy are introduced to improve the search performance of the dung beetle algorithm and reduce the possibility of falling into a non-optimal solution; By using the improved algorithm to find the optimal value, the power allocation of the BESS is completed; Finally, the simulation verification and comparative analysis are carried out based on Matlab, which proves the feasibility of the proposed strategy.