基于VSG的储能变流器JDL协调控制策略

WU Zhuo

doi:10.19783/j.cnki.pspc.240824

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基于VSG的储能变流器JDL协调控制策略

更新时间：2025-10-19

- 基于VSG的储能变流器JDL协调控制策略
- Power System Protection and Control Vol. 45, Issue 7, (2025)
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- DOI：10.19783/j.cnki.pspc.240824
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- Published：2025
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WU Zhuo. 基于VSG的储能变流器JDL协调控制策略[J]. Power system protection and control, 2025, 45(7).
DOI：

WU Zhuo. 基于VSG的储能变流器JDL协调控制策略[J]. Power system protection and control, 2025, 45(7). DOI： 10.19783/j.cnki.pspc.240824.

摘要

传统的虚拟同步发电机(virtual synchronous generator

VSG)控制策略通过调节转动惯量和阻尼系数抑制功率振荡，但传统控制策略中功率振荡的抑制效果和系统动态性能之间存在矛盾。为抑制VSG的功率振荡，提升系统的功率响应速度，提出了一种基于虚拟转动惯量J、虚拟阻尼D和虚拟电感L的JDL协调自适应控制策略。首先，分析了虚拟转动惯量J、虚拟阻尼D和虚拟电感L对虚拟同步发电机控制系统阻尼的影响。然后，用VSG输出功率差额、输出功率变化率和电网角频率差额3个参数代替传统控制策略中的角频率差额和角频率变化率，并基于这3个参数和功率振荡曲线制定了JDL的自适应控制规则。最后，通过Simulink仿真，将所提的JDL协调自适应控制策略与传统参数自适应控制策略和模糊自适应控制策略进行对比研究，验证了该控制策略抑制系统功率振荡和提升动态性能的有效性及适用性。

Abstract

Traditional virtual synchronous generator (VSG) control strategies suppress power oscillations by adjusting inertia and damping coefficients. However

there is a trade-off between power oscillation suppression and system dynamic performance in conventional control strategies. To address this issue

a coordinated JDL adaptive control strategy based on virtual inertia J

virtual damping D

and virtual inductance L is proposed to suppress VSG power oscillations and enhance power response speed. First

the influence of J

and L on the damping characteristics of the VSG control system is analyzed. Then

instead of using the conventional frequency deviation and frequency deviation rate

three parameters

i.e.

VSG output power deviation

output power change rate

and grid frequency deviation

are introduced. Based on these three parameters and power oscillation curve

JDL adaptive control rules are formulated. Finally

Simulink simulations are conducted to compare the proposed coordinated JDL adaptive control strategy with traditional parameter adaptive control and fuzzy adaptive control strategies. The results verify the effectiveness and applicability of the proposed control strategy in suppressing power oscillations and improving dynamic performance.

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Related Institution

Shenzhen Research Institute, Hunan University

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FU Jiajun(1. State Key Laboratory of High-Efficiency and High-Quality Conversion for Electric Power (Hunan University)

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YANG Yong(1. College of Electrical Engineering, Sichuan University

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