A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes
Detection of unintentional islanding is critical in microgrids in order to guarantee personal safety and avoid equipment damage. Most islanding detection techniques are based on monitoring and detecting abnormalities in magnitudes such as frequency, voltage, current and power. However, in normal ope...
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MDPI AG
2022-01-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/15/2/460 |
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author | José Antonio Cebollero David Cañete Susana Martín-Arroyo Miguel García-Gracia Helder Leite |
author_facet | José Antonio Cebollero David Cañete Susana Martín-Arroyo Miguel García-Gracia Helder Leite |
author_sort | José Antonio Cebollero |
collection | DOAJ |
description | Detection of unintentional islanding is critical in microgrids in order to guarantee personal safety and avoid equipment damage. Most islanding detection techniques are based on monitoring and detecting abnormalities in magnitudes such as frequency, voltage, current and power. However, in normal operation, the utility grid has fluctuations in voltage and frequency, and grid codes establish that local generators must remain connected if deviations from the nominal values do not exceed the defined thresholds and ramps. This means that islanding detection methods could not detect islanding if there are fluctuations that do not exceed the grid code requirements, known as the non-detection zone (NDZ). A survey on the benefits of islanding detection techniques is provided, showing the advantages and disadvantages of each one. NDZs size of the most common passive islanding detection methods are calculated and obtained by simulation and compared with the limits obtained by ENTSO-E and islanding standards in the function of grid codes requirements in order to compare the effectiveness of different techniques and the suitability of each one. |
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id | doaj.art-9d9709e52118483885c0eae0e51e8284 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T01:33:45Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-9d9709e52118483885c0eae0e51e82842023-11-23T13:36:30ZengMDPI AGEnergies1996-10732022-01-0115246010.3390/en15020460A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid CodesJosé Antonio Cebollero0David Cañete1Susana Martín-Arroyo2Miguel García-Gracia3Helder Leite4Electrical Engineering Department, University of Zaragoza, 50018 Zaragoza, SpainElectrical Engineering Department, University of Zaragoza, 50018 Zaragoza, SpainElectrical Engineering Department, University of Zaragoza, 50018 Zaragoza, SpainElectrical Engineering Department, University of Zaragoza, 50018 Zaragoza, SpainFaculty of Engineering (FEUP), University of Porto, 4200-465 Porto, PortugalDetection of unintentional islanding is critical in microgrids in order to guarantee personal safety and avoid equipment damage. Most islanding detection techniques are based on monitoring and detecting abnormalities in magnitudes such as frequency, voltage, current and power. However, in normal operation, the utility grid has fluctuations in voltage and frequency, and grid codes establish that local generators must remain connected if deviations from the nominal values do not exceed the defined thresholds and ramps. This means that islanding detection methods could not detect islanding if there are fluctuations that do not exceed the grid code requirements, known as the non-detection zone (NDZ). A survey on the benefits of islanding detection techniques is provided, showing the advantages and disadvantages of each one. NDZs size of the most common passive islanding detection methods are calculated and obtained by simulation and compared with the limits obtained by ENTSO-E and islanding standards in the function of grid codes requirements in order to compare the effectiveness of different techniques and the suitability of each one.https://www.mdpi.com/1996-1073/15/2/460islanding detection methodsnon-detection zonevoltage phase jump detectionRoCoFgrid codes |
spellingShingle | José Antonio Cebollero David Cañete Susana Martín-Arroyo Miguel García-Gracia Helder Leite A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes Energies islanding detection methods non-detection zone voltage phase jump detection RoCoF grid codes |
title | A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes |
title_full | A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes |
title_fullStr | A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes |
title_full_unstemmed | A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes |
title_short | A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes |
title_sort | survey of islanding detection methods for microgrids and assessment of non detection zones in comparison with grid codes |
topic | islanding detection methods non-detection zone voltage phase jump detection RoCoF grid codes |
url | https://www.mdpi.com/1996-1073/15/2/460 |
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