山东电力技术2026，Vol.53Issue(1)：25-36,12.DOI:10.20097/j.cnki.issn1007-9904.250332
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
Optimization of Power Allocation for Energy Storage Units Considering Energy Efficiency and State Parameter Equilibrium
摘要
Abstract
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.关键词
储能单元/功率分配/能量效率/荷电状态/健康状态Key words
energy storage unit/power allocation/energy efficiency/state of charge/state of health分类
信息技术与安全科学引用本文复制引用
徐越飞,吴非斐,陈云龙,沈景贵,李江涛,李知艺..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[J].山东电力技术,2026,53(1):25-36,12.基金项目
国家自然科学基金项目(52477132).National Natural Science Foundation of China(52477132). （52477132）
