A Hybrid Islanding Detection Technique using Voltage Positive Feedback and Frequency Deviation in GFM based Microgrid

This paper introduces a grid forming(GFM) inverter equipped with a hybrid islanding detection method which combined the positive feedback(PF) of the point of common coupling(PCC) voltage based active method used and the frequency deviation as a passive method. The proposed algorithm is implemented inside the GFM voltage controller. Furthermore, a frequency deviation threshold is addressed based on a theoretical approach in order to relieve continuous disturbance injection. This hybrid method doesn't undergo a non-detection zone(NDZ) and, an additionally, a continuous operation of the microgrid is achieved. Moreover, the proposed algorithms can distinguish islanding phenomenon against load switching during grid connected mode. The results are evaluated by simulations using ATPdraw software.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/powerafrica61624.2024.10759374
Primary Topic
Islanding Detection in Power Systems
Type
article
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article

A Hybrid Islanding Detection Technique using Voltage Positive Feedback and Frequency Deviation in GFM based Microgrid

Yasuhiro Noro, Alioune Diouf
Islanding Detection in Power Systems
article

A Hybrid Islanding Detection Technique using Voltage Positive Feedback and Frequency Deviation in GFM based Microgrid

Yasuhiro Noro, Alioune Diouf
article en

Abstract

This paper introduces a grid forming(GFM) inverter equipped with a hybrid islanding detection method which combined the positive feedback(PF) of the point of common coupling(PCC) voltage based active method used and the frequency deviation as a passive method. The proposed algorithm is implemented inside the GFM voltage controller. Furthermore, a frequency deviation threshold is addressed based on a theoretical approach in order to relieve continuous disturbance injection. This hybrid method doesn't undergo a non-detection zone(NDZ) and, an additionally, a continuous operation of the microgrid is achieved. Moreover, the proposed algorithms can distinguish islanding phenomenon against load switching during grid connected mode. The results are evaluated by simulations using ATPdraw software.

Kogakuin University (JP)
Affordable and clean energy
Openalex Percentile: Top 77%
Islanding Detection in Power Systems
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