The rapid proliferation of distributed photovoltaic (PV) systems under the carbon peaking and carbon neutrality goals has fundamentally altered the structure and operational characteristics of distribution networks. The transition from a single-source radial network to a multi-source interactive active network introduces significant variations in system equivalent impedance, complicating protection coordination and degrading relay performance. Existing impedance identification methods, whether offline simulation-based or online measurement-based, suffer from inherent limitations: offline approaches rely on imprecisely obtainable network parameters, while online techniques such as the least-squares and statistical relationship methods are vulnerable to parameter drift, leading to considerable estimation errors. To overcome these challenges, this paper proposes a frequency-domain injection-based impedance identification approach. By superimposing harmonic voltage or current signals onto the inverter control references and extracting the steady-state response at specific frequencies using continuous wavelet transform with a Blackman window, the method achieves accurate equivalent impedance estimation. An abnormal data elimination procedure further enhances robustness against measurement noise. Hardware-in-the-loop simulations validate the proposed method under various PV capacities and complex frequency conditions. Results demonstrate that the proposed technique consistently maintains average identification errors below 5%, significantly outperforming conventional time-domain methods. The proposed method provides a reliable equivalent impedance identification approach and is of significant application value for protection coordination and relay performance enhancement in distribution networks with high-penetration, distributed PV.
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Sun et al. (2026) studied this question.
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