Distributed Photovoltaic Island Monitoring Method Based on Gated Loop Unit

The rapid deployment of distributed photovoltaic (PV) systems has introduced new challenges in islanding detection, a critical task for grid stability and safety. This paper presents a novel Distributed Photovoltaic Island Monitoring Method Based on Gated Loop Unit (GLU). The GLU leverages advanced signal processing and dynamic response mechanisms to enhance detection sensitivity and accuracy. The proposed distributed architecture enables real-time data acquisition and collaborative decision-making across PV nodes, ensuring reliable monitoring under diverse grid conditions. Simulations and case studies validate the method’s effectiveness, demonstrating superior performance in terms of detection accuracy, low latency, and robustness when compared to conventional techniques. The proposed approach provides a scalable and efficient solution for improving islanding detection in distributed PV systems, contributing to the development of resilient and intelligent power grids.

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Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1109/itoec63606.2025.10968169
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Distributed Photovoltaic Island Monitoring Method Based on Gated Loop Unit

Zhukun Li, Yanping Li, Jianyong Ao
Power Systems and Renewable Energy
article

Distributed Photovoltaic Island Monitoring Method Based on Gated Loop Unit

Zhukun Li, Yanping Li, Jianyong Ao
article en

Abstract

The rapid deployment of distributed photovoltaic (PV) systems has introduced new challenges in islanding detection, a critical task for grid stability and safety. This paper presents a novel Distributed Photovoltaic Island Monitoring Method Based on Gated Loop Unit (GLU). The GLU leverages advanced signal processing and dynamic response mechanisms to enhance detection sensitivity and accuracy. The proposed distributed architecture enables real-time data acquisition and collaborative decision-making across PV nodes, ensuring reliable monitoring under diverse grid conditions. Simulations and case studies validate the method’s effectiveness, demonstrating superior performance in terms of detection accuracy, low latency, and robustness when compared to conventional techniques. The proposed approach provides a scalable and efficient solution for improving islanding detection in distributed PV systems, contributing to the development of resilient and intelligent power grids.

NARI Group (China) (CN), China Southern Power Grid (China) (CN)
Openalex Percentile: Top 93%
Power Systems and Renewable Energy
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