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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Thursday 28 March 2024

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Comparative of Islanding Detection Passive Methods for Distributed Generation Applications


Volume 8, Issue 2, September 2014, Pages 234–241

 Comparative of Islanding Detection Passive Methods for Distributed Generation Applications

Mehrnoosh Vatani1, Turaj Amraee2, and Iman Soltani3

1 Department of Electrical Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran
2 Department of Electrical Engineering, K,N. Toosi University of Technology, Tehran, Iran
3 Department of Electrical Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran

Original language: English

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


One of the important protection characteristics in online distributed generation is to identify the islanding operation. And in accordance with standards of Distribution network in power system, this identification must take in less Than 2 seconds. There are several Methods in Micro grids islanding detection. Islanding detection technique may generally be divided into remote and local techniques. In remote, The detection algorithm is on the grid side, in local the detection is on the DG side. Local Techniques consisting of active and passive and hybrid methods. Passive methods have been studied in This paper. The most commonly used passive islanding detection techniques are presented in This paper. This paper aims to compare these methods with their non-Detection zone and speed of detection. The comparison can help researchers determine the best method for their product.

Author Keywords: Distribution Generation, islanding detection, Micro grid, Passive method.


How to Cite this Article


Mehrnoosh Vatani, Turaj Amraee, and Iman Soltani, “Comparative of Islanding Detection Passive Methods for Distributed Generation Applications,” International Journal of Innovation and Scientific Research, vol. 8, no. 2, pp. 234–241, September 2014.