DocumentCode :
3779014
Title :
Detection of islanding in microgrid using wavelet-MRA
Author :
Aditie Garg;Aditi Sinha;M. Jaya Bharata Reddy;Dusmanta Kumar Mohanta
Author_Institution :
Department of EEE, National Institute of Technology, Tiruchirappalli, India
fYear :
2015
Firstpage :
42
Lastpage :
47
Abstract :
With the advent of distributed generation (DG) systems, there is a demand of reliable and uninterrupted power supply to the consumers. Microgrids are a group of distributed generators that are tied to a distribution system to satisfy the local electrical loads. One of the major operational issues in the microgrid in synchronous mode with the main grid is islanding operation in the event of any disturbance on the grid side (i.e. short circuit faults). During the occurrence of such faults, protecting a microgrid and all other electrical equipment is really essential. Hence a reliable, fault detecting methodology is required to detect the islanding condition and protect the DGs in case of any fault. A novel approach for the isolation of the DG, on the occurrence of a fault on the grid side has been presented in this paper. This isolation is marked by examining the three phase current at the point of common coupling using Wavelet Transform (WT) Multi-Resolution Analysis (MRA). The simulation studied in MATLAB shows that this technique can automatically detect all the ten types of shunt faults that can occur on the grid side. The result validates the proposed islanding detection technique to be robust and accurate.
Keywords :
"Microgrids","Circuit faults","Islanding","Multiresolution analysis","Time-frequency analysis","Wavelet transforms","Circuit breakers"
Publisher :
ieee
Conference_Titel :
Power, Control, Communication and Computational Technologies for Sustainable Growth (PCCCTSG), 2015 Conference on
Type :
conf
DOI :
10.1109/PCCCTSG.2015.7503917
Filename :
7503917
Link To Document :
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