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基于遗传因子递推最小二乘法微网逆变器线路阻抗辨识

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

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【作者】 赖纪东崔玉妹董玮苏建徽徐珊珊吕振华

【Author】 Lai Jidong;Cui Yumei;Dong Wei;Su Jianhui;Xu Shanshan;Lyu Zhenhua;School of Electrical Engineering and Automation, Hefei University of Technology;State Grid Jiangsu Electric Power Company Electric Research Institute;

【通讯作者】 赖纪东;

【机构】 合肥工业大学电气与自动化工程学院国网江苏省电力有限公司电力科学研究院

【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.

【基金】 国家电网有限公司总部科技项目(5100-202255376A-2-0-ZN)
  • 【文献出处】 太阳能学报 ,Acta Energiae Solaris Sinica , 编辑部邮箱 ,2025年02期
  • 【分类号】TM464
  • 【下载频次】173
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