Research on Capacity Allocation Method of Hybrid Energy Storage Integrated Within Thermal Power Unit for Combined Frequency Regulation

XU Fan; SUN Peifeng; LU Wanglin; LU Qiliang; BAI Peng; SUN Yukai

doi:10.19805/j.cnki.jcspe.2026.250034

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Research on Capacity Allocation Method of Hybrid Energy Storage Integrated Within Thermal Power Unit for Combined Frequency Regulation

更新时间：2026-10-10

- Research on Capacity Allocation Method of Hybrid Energy Storage Integrated Within Thermal Power Unit for Combined Frequency Regulation
- Chinese Journal of Power Engineering Vol. 46, Issue 5, Pages: 194-202(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2026.250034
  CLC： TK32
- Published：2026
- 稿件说明：
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徐凡, 孙培锋, 陆王琳, 陆启亮, 白鹏, 孙煜凯. 火电机组混合储能联合调频容量配置方法研究[J]. 动力工程学报, 2026, 46(5): 194-202.
徐凡, 孙培锋, 陆王琳, 陆启亮, 白鹏, 孙煜凯. 火电机组混合储能联合调频容量配置方法研究[J]. 动力工程学报, 2026, 46(5): 194-202. DOI： 10.19805/j.cnki.jcspe.2026.250034.

DOI： 10.19805/j.cnki.jcspe.2026.250034

摘要

为解决火电机组跟随自动发电控制(AGC)指令响应延迟大、超调大等问题

提出了一种基于稳健经验模态分解(REMD)的混合储能系统容量优化配置方法。首先

通过火电机组跟随AGC指令的功率曲线

得到混合储能系统所需功率。然后

利用REMD方法对所需功率进行分解

得到不同频率的功率分解曲线

并在考虑磷酸铁锂电池与超级电容储能系统两类不同储能设备工作特性的情况下进行功率分配。在考虑储能系统荷电状态、容量与充放电功率等约束下

建立以综合成本最小为目标的容量优化配置模型

将功率分解结果与容量配置模型进行联合优化

以获得最优储能配置方案。工程案例分析结果表明:所提方法可以有效改善火电机组跟随AGC指令的延迟功率响应问题

提高机组供电可靠性和经济效益。

Abstract

To address the issues of large response delay and large overshoot when thermal power units follow automatic generation control (AGC) commands

a capacity optimal allocation method for hybrid energy storage systems based on robust empirical mode decomposition (REMD) was proposed. First

the power required by the hybrid energy storage system was obtained from the power curve of the thermal power unit following the AGC command. Then

the required power was decomposed by the REMD method to obtain power decomposition curves at different frequencies

and power allocation was conducted considering the operating characteristics of two different energy storage devices

namely lithium iron phosphate batteries and supercapacitors. Considering constraints such as the state of charge

capacity

and charge-discharge power of the energy storage system

a capacity optimal allocation model aiming at minimizing the total cost was developed. Joint optimization of the power decomposition results and the capacity allocation model was performed to obtain the optimal energy storage allocation scheme. The results of engineering case analysis show that the proposed method can effectively improve the delayed power response of thermal power units following AGC commands

and enhance the power supply reliability and economic benefits of the units.

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references

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