D-Axis Disturbance Injection and Wavelet Transform based Islanding Detection

The unplanned islanding formation is needed to be detected and subsequently the distributed generators (DG) required to be de-energized. This becomes essential to safeguard the maintenance personnel and the electrical equipment. In this work, a hybrid islanding detection strategy is proposed based on d-axis current disturbance injection and subsequent analysis of the voltage by the wavelet transform. The proposed strategy is efficient to detect the islanding event, and also classify the non-islanding events precisely even though the measured voltage or frequency magnitudes are out of its operating zone. Thus the proposed strategy allows the DGs for the ride through capability. The proposed strategy is corroborated using MATLAB/Simulink 2024a

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Published
2024-12-18
DOI
https://doi.org/10.1109/pedes61459.2024.10961219
Primary Topic
Islanding Detection in Power Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

D-Axis Disturbance Injection and Wavelet Transform based Islanding Detection

Suman Murugesan, Senthil Kumar M
Islanding Detection in Power Systems
article

D-Axis Disturbance Injection and Wavelet Transform based Islanding Detection

Suman Murugesan, Senthil Kumar M
article en

Abstract

The unplanned islanding formation is needed to be detected and subsequently the distributed generators (DG) required to be de-energized. This becomes essential to safeguard the maintenance personnel and the electrical equipment. In this work, a hybrid islanding detection strategy is proposed based on d-axis current disturbance injection and subsequent analysis of the voltage by the wavelet transform. The proposed strategy is efficient to detect the islanding event, and also classify the non-islanding events precisely even though the measured voltage or frequency magnitudes are out of its operating zone. Thus the proposed strategy allows the DGs for the ride through capability. The proposed strategy is corroborated using MATLAB/Simulink 2024a

National Institute of Technology Patna (IN), National Institute of Technology Tiruchirappalli (IN)
Science and Engineering Research Board
Climate action
Openalex Percentile: Top 73%
Islanding Detection in Power Systems
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