Adaptive Control of Grid-forming Energy Storage Converters Considering SOC and Frequency Recovery

CHEN Bing; YIN Jia; ZHANG Liang; WANG Xu; WANG Fangming

doi:10.13296/j.1001-1609.hva.2026.06.014

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Adaptive Control of Grid-forming Energy Storage Converters Considering SOC and Frequency Recovery

Research & Analysis | 更新时间：2026-06-10

- Adaptive Control of Grid-forming Energy Storage Converters Considering SOC and Frequency Recovery
- High Voltage Apparatus Vol. 62, Issue 6, Pages: 113-121(2026)
- 作者机构：
  
  国网江苏省电力有限公司电力科学研究院，南京 211100
  江苏省电力试验研究院有限公司，南京 211100
  南京工程学院，南京 211167
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.06.014
  CLC：
- Received：16 September 2025，
  
  Revised：2025-12-02，
  
  Published：16 June 2026
- 稿件说明：
移动端阅览
CHEN Bing, YIN Jia, ZHANG Liang, et al. Adaptive Control of Grid-forming Energy Storage Converters Considering SOC and Frequency Recovery[J]. High Voltage Apparatus, 2026, 62(6): 113-121.
DOI：

CHEN Bing, YIN Jia, ZHANG Liang, et al. Adaptive Control of Grid-forming Energy Storage Converters Considering SOC and Frequency Recovery[J]. High Voltage Apparatus, 2026, 62(6): 113-121. DOI： 10.13296/j.1001-1609.hva.2026.06.014.

摘要

在“双碳”背景下，以新能源为主体的新型电力系统具有转动惯量、阻尼不足以及频率波动大等问题。为此提出了一种计及储能荷电状态和频率恢复的构网型储能变流器自适应控制策略，文中首先建立构网型储能变流器的小信号模型，开展虚拟惯量和阻尼系数对系统特性影响分析，并利用根轨迹分析和动态响应对虚拟惯量和阻尼系数进行参数设计。在此基础上，引入回归函数来构建SOC与虚拟惯量和阻尼系数之间的控制因子，将储能荷电状态和频率恢复计入虚拟惯量和阻尼自适应影响因素，确保储能装置安全前提下实时调整惯量和阻尼系数扰动。最后，在MATLAB/Simulink中构建了仿真模型，仿真结果验证了所提策略可行性和有效性。

Abstract

Under the backdrop of“dual carbon”goals

the new power system dominated by new energy faces such challenges as insufficient rotational inertia

inadequate damping and significant frequency fluctuations. For this reason

an adaptive control strategy of grid-forming energy storage converter considering the state of charge of energy storage and frequency recovery is proposed. First

the small signal model of grid-forming energy storage converter is set up in this paper

and the influence of virtual inertia and damping coefficient on system characteristics is analyzed. Then

the virtual inertia and damping coefficient are designed using root locus analysis and dynamic response. On this basis

a regression function is introduced to construct a control factor among SOC

virtual inertia and damping coefficient. The energy storage state of charge and frequency recovery are included in the adaptive influencing factors of virtual inertia and damping

ensuring real-time adjustment of inertia and damping coefficient disturbances while ensuring the safety of the energy storage device. Finally

a simulation model is constructed in MATLAB/Simulink and both feasibility and effectiveness of the proposed strategy are verified by the simulation result.

关键词

Keywords

references

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