基于遗传因子递推最小二乘法微网逆变器线路阻抗辨识

赖纪东; 崔玉妹; 董玮; 苏建徽; 徐珊珊; 吕振华

doi:10.19912/j.0254-0096.tynxb.2023-1560

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (2) : 293-298. DOI: 10.19912/j.0254-0096.tynxb.2023-1560

基于遗传因子递推最小二乘法微网逆变器线路阻抗辨识

赖纪东¹, 崔玉妹¹, 董玮¹, 苏建徽¹, 徐珊珊¹, 吕振华²

作者信息 +

LINE IMPEDANCE IDENTIFICATION OF MICROGRID INVERTERS BASED ON GENETIC FACTOR-BASED RECURSIVE LEAST SQUARES METHOD

Lai Jidong¹, Cui Yumei¹, Dong Wei¹, Su Jianhui¹, Xu Shanshan¹, Lyu Zhenhua²

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文章历史 +

摘要

为准确在线辨识微网逆变器线路阻抗,提出一种带遗传因子最小二乘法微网线路阻抗辨识方法。通过建立微网逆变器线路阻抗数学模型,基于遗传因子递推最小二乘法推导出线路阻抗辨识模型,然后进行迭代计算实时获得微网逆变器线路阻抗值。该方法能够实时准确地辨识微网逆变器线路阻抗参数,遗传因子的引入加快辨识响应速度,同时该方法适用于不平衡运行工况。为验证所提辨识方法性能,基于StarSim半实物实验平台进行实验验证,实验结果验证所提方法的辨识精度、跟随性能及不平衡工况下的适应性。

Abstract

In order to accurately obtain the line impedance values of microgrid inverters, this paper proposes a line impedance identification method with genetic factor least square. The microgrid inverter line impedance values are calculated in real time by establishing a microgrid inverter line impedance identification model and then substituting the identification model into the genetic factor least squares iterative calculation. The method is suitable to imbalanced operating settings and is capable of reliably identifying the microgrid inverter line impedance parameters in real time. The insertion of genetic variables speeds up the recognition speed, and the method is suitable for unbalanced operating conditions. In order to verify the performance of the proposed identification method, experimental validation is carried out based on the semi-physical experimental platform of StarSim, and the experimental results verify the identification accuracy, following performance, and adaptability under unbalanced operating conditions.

导出引用

赖纪东, 崔玉妹, 董玮, 苏建徽, 徐珊珊, 吕振华. 基于遗传因子递推最小二乘法微网逆变器线路阻抗辨识[J]. 太阳能学报. 2025, 46(2): 293-298 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1560

Lai Jidong, Cui Yumei, Dong Wei, Su Jianhui, Xu Shanshan, Lyu Zhenhua. LINE IMPEDANCE IDENTIFICATION OF MICROGRID INVERTERS BASED ON GENETIC FACTOR-BASED RECURSIVE LEAST SQUARES METHOD[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 293-298 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1560

中图分类号： TM351

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