Quadratic Programming Based Distribution Network Energy Storage Regulation Strategy Considering Suppression of Charging and Discharging Times

AN Xiaobo; CAI Jun; MA Jing; YANG Zhicheng; LI Minghu; LI Xu; ZHANG Xin

doi:10.19725/j.cnki.1007-2322.2023.0268

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Quadratic Programming Based Distribution Network Energy Storage Regulation Strategy Considering Suppression of Charging and Discharging Times

更新时间：2025-12-11

- Quadratic Programming Based Distribution Network Energy Storage Regulation Strategy Considering Suppression of Charging and Discharging Times
- Issue 6, Pages: 1248-1257(2025)
- 作者机构：
  
  1. 南方电网贵州电网有限责任公司遵义供电局,贵州省,遵义市,563100
  2. 江苏省大气环境与装备技术协同创新中心,江苏省,南京市,210044
  3. 浙江大学电气工程学院,浙江省,杭州市,310027
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0268
  CLC：
- Published：2025
- 稿件说明：
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AN Xiaobo, CAI Jun, MA Jing, et al. Quadratic Programming Based Distribution Network Energy Storage Regulation Strategy Considering Suppression of Charging and Discharging Times[J]. 2025, (6): 1248-1257.
DOI：

AN Xiaobo, CAI Jun, MA Jing, et al. Quadratic Programming Based Distribution Network Energy Storage Regulation Strategy Considering Suppression of Charging and Discharging Times[J]. 2025, (6): 1248-1257. DOI： 10.19725/j.cnki.1007-2322.2023.0268.

摘要

电网负荷的逐年增加使得电网负荷峰谷差问题愈发严重，充分利用电池储能系统的削峰填谷能力则尤为重要。对电池容量和充放电次数的精确管控，将有助于更好的发挥储能作用并延缓电池退化速度。提出了一种考虑电池充放电次数抑制的二次规划法储能优化调控策略，其主体思想为：1）利用二次规划法跟踪日负荷波动并初步规划电池储能系统充放电功率；2）设置上、下功率限值，并根据电池充放电次数实时计算值与最大允许充放电次数的比较关系进行动态迭代；3）根据动态迭代的上下功率限值，对二次规划优化后的电池储能充放电功率和负荷功率进行动态分区，实现对充放电功率曲线的整形和抑制，从而有效降低电池充放电次数。为验证该方法的可行性，针对贵州遵义某电力线路的典型日负荷数据进行了系统仿真分析。实验结果表明，所提方法在二次规划法优化的前提下，进一步抑制了电池储能系统的充放电次数，对于电池的健康管控具有重要的作用。

Abstract

The increasing power load year by year has significantly enhanced the issue of peak valley difference in power load

thereby emphasizing the importance of fully utilizing the peak and valley filling capacity offered by battery energy storage systems. In this paper

a Quadratic programming energy storage optimization regulation strategy is proposed considering the suppression of battery charging and discharging times. The main ideas are as follows: 1) The Quadratic programming method is utilized to track the daily load fluctuation and preliminarily plan the charging and discharging power of the battery energy storage system. 2) The upper and lower power limits are set and dynamic iteration is conducted according to the comparison between the real-time computing battery charging and discharging times and the maximum allowable charging and discharging times. 3) The battery energy storage charge and discharge power

as well as the load power optimized by Quadratic programming

are dynamically partitioned based on the upper and lower power limits of dynamic iteration. This strategy shapes and restrains the charge and discharge power curve

thus effectively reducing the number of battery charges and discharges. A systematic simulation analysis is conducted on four typical daily load data of a certain power line in Zunyi

Guizhou

so as to verify the feasibility of this method. The experimental results demonstrate that this method further suppresses the charging and discharging times of the battery energy storage system under the premise of Quadratic programming optimization regulation

playing an important role in battery health control.

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references

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