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Open AccessArticle

Adaptive Observer-Based Grid-Synchronization and Sequence Extraction Techniques for Renewable Energy Systems: A Comparative Analysis

1
School of Engineering and the Built Environment, Birmingham City University, Birmingham B4 7XG, UK
2
UMR CNRS 6027 IRDL, University of Brest, 29238 Brest, France
3
Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in the 46th Annual Conference of the IEEE Industrial Electronics Society (IECON-2020), Singapore.
Appl. Sci. 2021, 11(2), 653; https://doi.org/10.3390/app11020653
Received: 9 November 2020 / Revised: 21 December 2020 / Accepted: 1 January 2021 / Published: 11 January 2021
Various faults and disturbances often make the grid unbalanced and distorted. To make the grid-connected converters resilient to unbalanced and distorted grid, real-time estimation of grid voltage sequences are essential. Adaptive-observer based grid-synchronization techniques are very suitable for this purpose. In this paper, a comparative analysis of three recently proposed adaptive observer-based grid-synchronization technique are presented for frequency estimation and sequence extraction. The considered techniques are: global adaptive observer, gain normalized adaptive observer, and second-order generalized integrator type adaptive observer. Following a fair and systematic gain tuning process, the performances are verified through extensive numerical simulation and experiments. Experimental results demonstrate the merits and demerits of the individual techniques. Academic researchers and industrial practitioners will find the results useful for the selection of adaptive observer-based grid-synchronization and sequence extraction techniques. View Full-Text
Keywords: grid-synchronization; frequency-locked loop; sequence extraction; grid-connected renewable energy systems grid-synchronization; frequency-locked loop; sequence extraction; grid-connected renewable energy systems
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MDPI and ACS Style

Ahmed, H.; Benbouzid, M. Adaptive Observer-Based Grid-Synchronization and Sequence Extraction Techniques for Renewable Energy Systems: A Comparative Analysis. Appl. Sci. 2021, 11, 653. https://doi.org/10.3390/app11020653

AMA Style

Ahmed H, Benbouzid M. Adaptive Observer-Based Grid-Synchronization and Sequence Extraction Techniques for Renewable Energy Systems: A Comparative Analysis. Applied Sciences. 2021; 11(2):653. https://doi.org/10.3390/app11020653

Chicago/Turabian Style

Ahmed, Hafiz; Benbouzid, Mohamed. 2021. "Adaptive Observer-Based Grid-Synchronization and Sequence Extraction Techniques for Renewable Energy Systems: A Comparative Analysis" Appl. Sci. 11, no. 2: 653. https://doi.org/10.3390/app11020653

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