考虑能量效率与状态参数均衡的储能单元功率分配优化方法OA

Against the backdrop of the rapid development of electrochemical energy storage,in order to extend the service life of energy storage power stations and reduce their operation costs over the entire life cycle,an optimization method for power allocation of energy storage units that takes into account energy efficiency and the equilibrium of state parameters is proposed.This method constructs a comprehensive energy efficiency model of the energy storage unit by accurately modeling the efficiency characteristics of both the converter and the battery pack.Based on this model,power allocation strategies for energy storage units are analyzed under different conditions taking into account the self-state of the energy storage unit..By establishing a bi-objective optimization model that simultaneously minimizes the system's total energy consumption and promotes the convergence of state parameters across all energy storage units toward equilibrium,the solution is obtained through the implementation of the decision making-multi-objective genetic algorithm(DM-MOGA).The results of the case study show that this method can not only achieve adaptive power allocation based on the state parameters of the energy storage units,effectively avoiding the problem of the overall system performance degradation caused by the excessive aging of individual units,but also demonstrate obvious advantages in controlling energy loss,providing a new reference for reducing the operation costs of energy storage.