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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 12, 2019.
Abstract: Resonance turns into a growing issue of paramount importance for stable operation of LCL filtered grid-connected inverters. Active damping algorithms are widely adopted to restrain the resonance peak associated with LCL filters. The focus of this paper is to develop an improved active damping solution based on filter capacitor current for better control performance of three-phase LCL grid-connected inverters. In the proposed solution, an improved compensator is included across the LCL filter system and capacitor current feedback. A damping loop is implemented with the proposed combination, which is further feedback at a reference voltage point of the three-phase inverter to damp the aroused resonance peak. The substantial features of the proposed configuration are wide damping range of resonance frequency and high control bandwidth, which results in faster dynamic response in comparison with conventional capacitor current proportionally feedback. Moreover, the stability of current loop is examined in detail by implementing the proposed damping method under the filter parametric variations. Finally, the efficacy of the proposed method is validated by illustrating the outcomes based on steady state and transient responses through simulations and experimental results of the laboratory prototype.
Danish Khan, Muhammad Mansoor Khan, Yaqoob Ali, Abdar Ali and Imad Hussain, “Resonance Mitigation and Performance Improvement in Distributed Generation based LCL Filtered Grid Connected Inverters” International Journal of Advanced Computer Science and Applications(IJACSA), 10(12), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101208
@article{Khan2019,
title = {Resonance Mitigation and Performance Improvement in Distributed Generation based LCL Filtered Grid Connected Inverters},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101208},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101208},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {12},
author = {Danish Khan and Muhammad Mansoor Khan and Yaqoob Ali and Abdar Ali and Imad Hussain}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.