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在电化学储能高速发展的背景下，为延长储能电站使用寿命，降低其全寿命周期运营成本，提出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。该方法通过对变流器和电池组效率特性的精确建模，构建了完整的储能单元能量效率模型。在此基础上，考虑储能单元自身状态，分析储能在不同情况下的功率分配策略。通过构建双目标优化模型，即最小化系统总能耗并引导各储能单元状态参数趋于一致，采用决策型多目标遗传算法（decision making-multiobjective genetic algorithm,DM-MOGA）进行求解。算例结果表明，该方法不仅能够基于储能单元状态参数实现自适应功率分配，有效避免个别单元过度老化导致系统整体性能下降的问题，在能量损耗控制方面也表现出明显优势，为降低储能的运营成本提供新的参考。
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.
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基本信息:
DOI：10.20097/j.cnki.issn1007-9904.250332
中图分类号:TM91;TP18
引用信息:
[1]徐越飞,吴非斐,陈云龙,等.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(01):25-36.DOI:10.20097/j.cnki.issn1007-9904.250332.
基金信息:
国家自然科学基金项目（52477132）~~
2025-04-16
2025
2025-08-04
2025
1
2026-01-25
2026-01-25