An island detection method based on improved droop control

The current islanding detection methods are mainly divided into three types: remote islanding detection, passive islanding detection, and active islanding detection. Through analysis, it is found that they are not suitable for droop control inverters. Based on this, an improved droop control is proposed to achieve islanding detection, and a simulation model is built in MATLAB/Simulink to verify the proposed method. This method improves the droop control by adding the voltage change to the frequency change through the droop control equation, eliminating the non detected zone of passive over/under frequency islanding detection methods and improving sensitivity.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0686
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An island detection method based on improved droop control

Wei Huang, Limin Jia
IET conference proceedings.
Remote Sensing and Land Use
article

An island detection method based on improved droop control

Wei Huang, Limin Jia
article en

Abstract

The current islanding detection methods are mainly divided into three types: remote islanding detection, passive islanding detection, and active islanding detection. Through analysis, it is found that they are not suitable for droop control inverters. Based on this, an improved droop control is proposed to achieve islanding detection, and a simulation model is built in MATLAB/Simulink to verify the proposed method. This method improves the droop control by adding the voltage change to the frequency change through the droop control equation, eliminating the non detected zone of passive over/under frequency islanding detection methods and improving sensitivity.

IET conference proceedings.Vol. 2024(33)
North China Electric Power University (CN)
Openalex Percentile: Top 96%
Remote Sensing and Land Use
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.