LAPSE:2023.15262v1
Published Article
LAPSE:2023.15262v1
Implementation of the Improved Active Frequency Drift Anti-Islanding Method into the Three-Phase AC/DC Converter with the LCL Grid Filter
Krzysztof Dmitruk, Andrzej Sikorski
March 2, 2023
Abstract
The article presents a modified standard Active Frequency Drift (AFD) method used to detect unintentional island operation in converters generating electricity from renewable energy sources to the power grid. The primary aim of each of the island operation detection methods is the possibility of shortening the energising of a separate part of the power grid. The proposed method eliminates fragments of the reference current signal when it reaches a constant value for a particular time. This part of the signal is replaced with the hyperbolic sine function. It allows reducing the value of Total Harmonic Distortions (THD) while maintaining the same effectiveness of island operation detection. The article contains a detailed description of the newly proposed type of disturbance generation. The proposed solution is verified by conducting simulation and laboratory tests. The possibility of shortening the island operation detection time is proven by increasing the maximum distortion introduced into the current without exceeding the permissible THD limit for converters connected to the power grid.
Keywords
active frequency drift, anti-islanding detection, energy quality, predictive control, renewable energy source, three-phase converter
Suggested Citation
Dmitruk K, Sikorski A. Implementation of the Improved Active Frequency Drift Anti-Islanding Method into the Three-Phase AC/DC Converter with the LCL Grid Filter. (2023). LAPSE:2023.15262v1
Author Affiliations
Dmitruk K: Faculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45D, 15-351 Bialystok, Poland [ORCID]
Sikorski A: Faculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45D, 15-351 Bialystok, Poland
Journal Name
Energies
Volume
15
Issue
4
First Page
1323
Year
2022
Publication Date
2022-02-11
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15041323, Publication Type: Journal Article
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LAPSE:2023.15262v1
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https://doi.org/10.3390/en15041323
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