基于递推最小二乘法的虚拟同步发电机参数辨识方法

LUO Qinqin

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基于递推最小二乘法的虚拟同步发电机参数辨识方法

更新时间：2025-08-13

- 基于递推最小二乘法的虚拟同步发电机参数辨识方法
- Automation of Electric Power Systems Vol. 43, Issue 1, Pages: 215-221(2019)
- 作者机构：
  
  教育部光伏系统工程研究中心(合肥工业大学),安徽省,合肥市,230009
- 作者简介：
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- Published：2019
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LUO Qinqin. [J]. Automation of electric power systems, 2019, 43(1): 215-221.
DOI：

LUO Qinqin. [J]. Automation of electric power systems, 2019, 43(1): 215-221. DOI：

摘要

基于虚拟同步发电机(VSG)控制的逆变器能够为微网提供惯性和阻尼，提出一种VSG参数辨识方法，为微网的优化设计提供基础。首先建立了VSG输出功率对指令功率的二阶传递函数模型，然后根据基于VSG控制的逆变器在响应阶跃指令功率后的输出，利用模型参数与惯性和阻尼系数的关系，并基于递推最小二乘法辨识出逆变器提供的惯性和阻尼系数。进一步分析了稳态平衡点偏移以及双线性变换给辨识结果带来的误差，结果表明利用递推最小二乘法辨识VSG参数能够满足一定的精度要求。最后，通过MATLAB仿真和实验验证了所提参数辨识方法的可行性和有效性。

Abstract

The inverters controlled by virtual synchronous generator(VSG)can provide inertia and damping for microgrids. A method for identifying the parameters of VSG is proposed to provide the basis for the optimal design of microgrids. Firstly

a second-order transfer function model of VSG's active power output to command power is proposed. Secondly

according to the active power response of VSG-controlled inverter to the command power

and the mathematical relationship between transfer function parameters and inertia and damping coefficients

the inertia and damping coefficients of the inverter are identified by using the recursive least squares algorithm. Meanwhile

the errors caused by steady state equilibrium shift and the bilinear transformation on the identification results are analyzed

which shows that the parameter identification of VSG by using the recursive least squares algorithm can satisfy a certain accuracy requirement. Finally

the feasibility and effectiveness of the proposed method are verified by simulations with MATLAB and experiments.

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微网逆变器的VSG转动惯量和阻尼系数自适应控制

基于微分补偿环节虚拟惯性的虚拟同步发电机控制策略

基于虚拟同步发电机的微网运行模式无缝切换控制策略

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