计及动态能效特性的混合储能并网波动平抑策略

胡森; 施朝晖; 张磊; 陶安; 贾妍博; 张宇宁; 刘春明

doi:10.19805/j.cnki.jcspe.2025.250217

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计及动态能效特性的混合储能并网波动平抑策略

更新时间：2026-10-10

- 计及动态能效特性的混合储能并网波动平抑策略
- Fluctuation Suppression Strategy for Grid-connected Hybrid Energy Storage Considering Dynamic Energy Efficiency Characteristics
- 动力工程学报 2025年45卷第10期页码：1615-1627
- 作者机构：
  
  1. 中国电建集团华东勘测设计研究院有限公司,浙江,杭州,311122
  2. 华北电力大学电气与电子工程学院,北京,102206
- 作者简介：
  
  胡森(1979—),男,湖北黄冈人,副高级工程师,硕士,研究方向为新能源电气设计,E-mail:hu_s@hdec.com
- 基金信息：
  
  国家自然科学基金资助项目(51977074)
- DOI：10.19805/j.cnki.jcspe.2025.250217
  中图分类号：
- 网络首发：2025-05-12，
  
  纸质出版：2025
- 稿件说明：
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胡森,施朝晖,张磊,陶安,贾妍博,张宇宁,刘春明. 计及动态能效特性的混合储能并网波动平抑策略动力工程学报, 2025, 45(10): 1615-1627 https://doi.

org/10.19805/j.cnki.jcspe.2025.250217
胡森,施朝晖,张磊,陶安,贾妍博,张宇宁,刘春明. 计及动态能效特性的混合储能并网波动平抑策略动力工程学报, 2025, 45(10): 1615-1627 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250217.

org/10.19805/j.cnki.jcspe.2025.250217 DOI：

摘要

在新型电力系统高比例风电并网波动平抑过程中

源侧配套混合储能设备的工作协同及能效问题凸显

据此提出了一种考虑动态能效特性的混合储能风电波动平抑策略。首先

为解决恒定效率模型无法描述储能实际非线性动态效率特性的缺陷

提出储能效率阶梯模型及其构建方法

以表征多类储能差异化效率特性曲线

实时描述储能运行的动态能效水平。其次

建立混合储能双层滚动优化控制模型

上层模型采用集合经验模态分解(EEMD)-快速傅里叶变换(FFT)算法

依据并网波动限值与储能响应能力求解预调度方案;下层模型基于帕累托前沿-逼近理想解排序法(Pareto-TOPSIS)

构建实时动态决策机制

该机制依据能效水平与并网波动对预调度计划进行二次优化

从而实现波动平抑与自身能量降损目标的动态平衡。算例结果表明:相较于逐级优化模型

所提模型在保持良好波动平抑水平的同时

将储能能量损耗与运维成本分别降低46.7%、34.4%

将液流电池高能效状态运行时段占比降至14.6%;该模型有效提升了混合储能控制协调配合的经济性

并且考虑了混合储能动态效率特性。

Abstract

In the fluctuation suppression process of the new-type power system with high penetration of wind power

the issues of work coordination and energy efficiency of hybrid energy storage equipment supporting the source side have become prominent. A wind power fluctuation suppression strategy for hybrid energy storage considering dynamic energy efficiency characteristics was proposed. Firstly

to address the issue that the constant efficiency model cannot describe the actual nonlinear dynamic energy efficiency characteristics of energy storage

a ladder energy storage efficiency model and its construction method were proposed to characterize the differentiated efficiency characteristic curves of multiple types of energy storage

so as to describe the dynamic energy efficiency level of energy storage operation in real time. Secondly

a two-layer rolling optimization control model for hybrid energy storage was developed. The upper-layer model adopted the ensemble empirical mode decomposition (EEMD)-fast Fourier transform (FFT) algorithm

and solved for the pre-dispatching scheme based on grid-connected fluctuation limits and energy storage response capability. The lower-layer model was based on the Pareto front-technique for order preference by similarity to ideal solution (Pareto-TOPSIS) to construct a real-time dynamic decision-making mechanism. This mechanism performed secondary optimization on the pre-dispatching plan according to the energy efficiency level and grid-connected fluctuation

thereby achieving the dynamic balance between the goals of fluctuation suppression and self-energy loss reduction. Case study results show that compared with the step-by-step optimization model

the proposed model not only maintains a good fluctuation suppression level

but also reduces energy storage energy loss and operation and maintenance costs by 46.7% and 34.4% respectively

and reduces the operation time proportion of flow batteries in the high-energy-efficiency state to 14.6%. The model effectively improves the economy of control coordination and cooperation of hybrid energy storage

and takes into account the dynamic efficiency characteristics of hybrid energy storage.

关键词

Keywords

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