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

Lai Jidong; Cui Yumei; Dong Wei; Su Jianhui; Xu Shanshan; Lyu Zhenhua

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

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 293-298. DOI: 10.19912/j.0254-0096.tynxb.2023-1560

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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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.

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microgrid / parameter identification / line impedance / genetic factors / least squares method

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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

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