Microgrid Dispatch Strategy Considering Multiple Heterogeneous Characteristics of Hybrid Energy Storage Units

ZHOU Hang; MIAO Shihong; WANG Tingtao; HE Ligang; YU Tianhang

doi:10.19725/j.cnki.1007-2322.2024.0085

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Microgrid Dispatch Strategy Considering Multiple Heterogeneous Characteristics of Hybrid Energy Storage Units

更新时间：2026-06-02

- Microgrid Dispatch Strategy Considering Multiple Heterogeneous Characteristics of Hybrid Energy Storage Units
- Vol. 43, Issue 3, Pages: 550-560(2026)
- 作者机构：
  
  强电磁技术全国重点实验室(华中科技大学),湖北省,武汉市,430074
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0085
  CLC： 3
- Published：2026
- 稿件说明：
移动端阅览
ZHOU Hang, MIAO Shihong, WANG Tingtao, et al. Microgrid Dispatch Strategy Considering Multiple Heterogeneous Characteristics of Hybrid Energy Storage Units[J]. 2026, 43(3): 550-560.
DOI：

ZHOU Hang, MIAO Shihong, WANG Tingtao, et al. Microgrid Dispatch Strategy Considering Multiple Heterogeneous Characteristics of Hybrid Energy Storage Units[J]. 2026, 43(3): 550-560. DOI： 10.19725/j.cnki.1007-2322.2024.0085.

摘要

随着储能技术的商业化发展和混合储能的推广应用，规模化储能系统日益呈现出显著的异构化特征。不同储能单元间物理特性的差异，增加了电力系统能量管理和功率分配的复杂性。为此，该文针对含异构混合储能单元的微电网优化运行策略开展研究。首先，对于微电网系统，以最大新能源消纳以及最小上级电网购电量、最低用户侧失负荷量为目标，建立含异构混合储能单元的微电网优化调度数学模型。其次，对于异构储能单元，计及异构混合储能单元功率、容量、初始荷电状态(state of charge，SOC)的差异性，提出异构储能单元聚类方法以及充放电排序策略。然后，考虑混合储能集群功率响应特性，提出含异构储能单元的微电网系统双层调度策略。最后，以某个含异构混合储能单元的微电网系统作为算例对所提方法进行验证。结果表明，该方法可以有效降低计算复杂性，实现混合储能单元间的优化协调配合。

Abstract

With the commercialization of energy storage technology and the promotion of hybrid energy storage

large-scale energy storage systems are increasingly exhibiting significant heterogeneous characteristics. The differences in physical characteristics across different energy storage units increase complexity of energy management and power allocation within the power system. Therefore

we conduct research on the optimization operation strategy of microgrids incorporating heterogeneous hybrid energy storage units. Firstly

for a microgrid system

a mathematical model for microgrid optimization scheduling with heterogeneous hybrid energy storage units is established. The objective of this model is to maximize new energy consumption

minimize the purchase of electricity from the superior grid

and minimize the load loss on the user side. Secondly

for heterogeneous energy storage units

considering the disparities in power

capacity

and initial SOC of heterogeneous hybrid energy storage units

a clustering method for heterogeneous energy storage units and a charging and discharging sorting strategy are proposed. Subsequently

a dual layer scheduling strategy for microgrid systems with heterogeneous energy storage units is developed with the power response characteristics of hybrid energy storage clusters taken into account. Finally

a microgrid system containing heterogeneous hybrid energy storage units is utilized as a case study to validate the method proposed in this paper. The results demonstrate that this method effectively reduces computational complexity while achieving optimized coordination and cooperation among hybrid energy storage units.

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references

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