考虑多目标功率分配的储能能量管理策略研究

尹翔; 余丹; 张效俊; 崔福海; 何蕾; 夏远德; 王哲

doi:10.13296/j.1001-1609.hva.2026.06.028

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考虑多目标功率分配的储能能量管理策略研究

技术讨论 | 更新时间：2026-06-10

- 考虑多目标功率分配的储能能量管理策略研究
- Research on Energy Management Strategy for Energy Storage Considering Multi-objective Power Allocation
- 高压电器 2026年62卷第6期页码：228-236
- 作者机构：
  
  国网新疆电力有限公司，乌鲁木齐 830000
  电力规划设计总院，北京 100120
  北方工业大学储能技术工程研究中心，北京 100144
- 作者简介：
  
  尹翔（1986—），男，硕士研究生，副高级工程师，主要研究方向为电网规划设计、储能及新型电力系统研究（通信作者）（E-mail：yinxiang524@sina.com）。
  余丹（1980—），女，硕士研究生，副高级工程师，主要研究方向为电力系统规划设计（E-mail：dyu@eppei.com）。
  张效俊（1978—），男，本科，副高级工程师，主要研究方向为电网规划（E-mail：13639913661@163.com）。
  崔福海（1978—），男，本科，副高级工程师，主要研究方向为电网规划（E-mail：406618668@qq.com）。
  何蕾（1988—），女，本科，副高级工程师，主要研究方向为电网建设、经营管理（E-mail：251005807@qq.com）。
  夏远德（1988—），男，本科，工程师，主要研究方向为电网规划（E-mail：418176565@qq.com）。
  王哲（1997—），男，硕士研究生，主要研究方向为退役电池利用（E-mail：794775011@qq.com）。
- 基金信息：
  
  国网新疆电力有限公司科研项目（新型电力系统下沙戈荒能源基地共享储能规划方法研究）;State Grid Xinjiang Electric Power Co., Ltd. (Research on Planning Methods for Shared Energy Storage in Sandy, Gobi, and Desert Energy Bases Under the New Power System)
- DOI：10.13296/j.1001-1609.hva.2026.06.028
  中图分类号：
- 收稿：2025-11-17，
  
  修回：2026-01-28，
  
  纸质出版：2026-06-16
- 稿件说明：
移动端阅览
尹翔, 余丹, 张效俊, 等. 考虑多目标功率分配的储能能量管理策略研究[J]. 高压电器, 2026,62(6):228-236.

YIN Xiang, YU Dan, ZHANG Xiaojun, et al. Research on Energy Management Strategy for Energy Storage Considering Multi-objective Power Allocation[J]. High Voltage Apparatus, 2026, 62(6): 228-236.
尹翔, 余丹, 张效俊, 等. 考虑多目标功率分配的储能能量管理策略研究[J]. 高压电器, 2026,62(6):228-236. DOI： 10.13296/j.1001-1609.hva.2026.06.028.

YIN Xiang, YU Dan, ZHANG Xiaojun, et al. Research on Energy Management Strategy for Energy Storage Considering Multi-objective Power Allocation[J]. High Voltage Apparatus, 2026, 62(6): 228-236. DOI： 10.13296/j.1001-1609.hva.2026.06.028.

摘要

为了提高储能换电柜管理策略效率，促进其高效利用，提出了一个基于人工鱼群算法的多目标功率分配能量管理策略。首先，建立了换电柜系统模型，其次，建立了考虑电池电量、储能换电柜运行成本的多目标功率分配数学模型，然后运用具有收敛速度快、效率高等优点的人工鱼群算法求解该模型。通过仿真表明，该策略能够实现储能换电柜的功率分配，降低运行成本，提高运行效率。

Abstract

For improving the efficiency of energy storage and battery swapping cabinet management strategy and promote its efficient utilization

a multi-objective power allocation energy management strategy based on artificial fish swarm algorithm is proposed. First

the system model of the battery swapping cabinet is set up. Then

the multiobjective power allocation mathematical model considering the battery power and the operating cost of the energy storage and battery swapping cabinet is set up. After that

the artificial fish group algorithm with such advantages as fast convergence speed and high efficiency is used to solve the model. It is shown by simulation that this strategy can achieve power distribution of the energy storage and battery swapping cabinet

reduce operation cost and improve operation efficiency.

关键词

Keywords

references

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