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Binfeng Zhang

Researcher at Nanjing University of Aeronautics and Astronautics

Publications -  29
Citations -  509

Binfeng Zhang is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Inverter & Harmonics. The author has an hindex of 8, co-authored 29 publications receiving 290 citations.

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Adaptive Feedforward Algorithm Without Grid Impedance Estimation for Inverters to Suppress Grid Current Instabilities and Harmonics Due to Grid Impedance and Grid Voltage Distortion

TL;DR: A novel adaptive algorithm for the PCC voltage feedforward to work well with the varied grid impedance is proposed and does not have to sacrifice the dynamic or the harmonics rejection performance, or to use the on or offline grid impedance estimation.
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Harmonic Suppression and Stability Enhancement for Parallel Multiple Grid-Connected Inverters Based on Passive Inverter Output Impedance

TL;DR: The inverter output impedance is passivized for solving the harmonic and the stability problems in the multiparallel inverters and the dynamic performance is enhanced with an additional current reference generation scheme.
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Harmonics and Stability Analysis of Single-Phase Grid-Connected Inverters in Distributed Power Generation Systems Considering Phase-Locked Loop Impact

TL;DR: It has been proved that the maximum ability of inverters in suppressing the low-order grid current harmonics closely relates to the PLL, even if a harmonic resonant controller and/or PCC voltage feedforward is used.
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A Magnetic Coupling Based Gate Driver for Crosstalk Suppression of SiC MOSFETs

TL;DR: A gate driver based on the magnetic coupling is proposed to ensure the gate–source voltage within the safe range, even when the positive and negative spurious pulse voltages appear.
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Robust Grid Current Control With Impedance-Phase Shaping for LCL -Filtered Inverters in Weak and Distorted Grid

TL;DR: It is proved that, for the typical grid current AD control, a contradiction between high bandwidth and high robustness exists, and a systematic approach for enhancing the robustness under complex grid conditions has been proposed.