Passive Islanding Detection Approach for Grid Integrated SPV System

This study presents a passive islanding detection technique (IDT) which is based on voltage ripple content at the point of common coupling (PCC) for grid integrated solar photovoltaic (SPV) system. While conventional passive detection techniques are commonly employed, they are not particularly effective at identifying islanding, especially when a minimal power mismatch exists. Furthermore, they may produce false detection in certain instances that are not islands. If islanding is not detected quickly, it may result in extremely hazardous and adverse situations. Passive detection techniques rely on power system parameters and might fail to detect islanding in certain scenarios. This research presents an efficient passive islanding detection approach for grid-integrated solar PV system. This technique employs time-domain spectral analysis to monitor the ripple component of the voltage source inverter (VSI) voltage at the PCC and identify discrepancies. In the presented research work islanding is detected when the ripple content is found to be more than a predetermined threshold level for a specific period of time. The performance of the presented method has been tested under different operating conditions. Within the given delay period of 3ms, the proposed technique was able to identify all forms of islanding cases and did not exhibit any form of non-detection zone.

Authors

Institutions

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/tensymp61132.2024.10752124
Citations
2
Primary Topic
Islanding Detection in Power Systems
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Passive Islanding Detection Approach for Grid Integrated SPV System

Rachana Garg, Shruti Prajapati, Priya Mahajan
2 citations
Islanding Detection in Power Systems
0.42
article

Passive Islanding Detection Approach for Grid Integrated SPV System

Rachana Garg, Shruti Prajapati, Priya Mahajan
article en
2 citations

Abstract

This study presents a passive islanding detection technique (IDT) which is based on voltage ripple content at the point of common coupling (PCC) for grid integrated solar photovoltaic (SPV) system. While conventional passive detection techniques are commonly employed, they are not particularly effective at identifying islanding, especially when a minimal power mismatch exists. Furthermore, they may produce false detection in certain instances that are not islands. If islanding is not detected quickly, it may result in extremely hazardous and adverse situations. Passive detection techniques rely on power system parameters and might fail to detect islanding in certain scenarios. This research presents an efficient passive islanding detection approach for grid-integrated solar PV system. This technique employs time-domain spectral analysis to monitor the ripple component of the voltage source inverter (VSI) voltage at the PCC and identify discrepancies. In the presented research work islanding is detected when the ripple content is found to be more than a predetermined threshold level for a specific period of time. The performance of the presented method has been tested under different operating conditions. Within the given delay period of 3ms, the proposed technique was able to identify all forms of islanding cases and did not exhibit any form of non-detection zone.

Delhi Technological University (IN)
Affordable and clean energy
Openalex Percentile: Top 37%
Islanding Detection in Power Systems
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.