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Comparative Study of Different Approaches for Islanding Detection of Distributed Generation Systems

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Department of Electrical and Electronics Engineering, Kathmandu University, Dhulikhel 45200, Nepal
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Centre for Electric Power Engineering, Kathmandu University, Dhulikhel 45200, Nepal
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Khwopa College of Engineering, Tribhuvan University, Bhaktapur 44800, Nepal
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NEA Engineering Company, Kathmandu 44600, Nepal
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Center for Electricity Trade Research and Facilitation, Kathmandu University, Dhulikhel 45200, Nepal
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Department of Electrical Engineering, Frederick University, Nicosia 94014, Cyprus
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Department of Civil and Geomatics Engineering, Kathmandu University, Dhulikhel 45200, Nepal
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Author to whom correspondence should be addressed.
Appl. Syst. Innov. 2019, 2(3), 25; https://doi.org/10.3390/asi2030025
Received: 21 May 2019 / Revised: 19 July 2019 / Accepted: 22 July 2019 / Published: 23 July 2019
The issue of unintentional islanding in grid interconnection still remains a challenge in grid-connected, Distributed Generation System (DGS). This study discusses the general overview of popular islanding detection methods. Because of the various Distributed Generation (DG) types, their sizes connected to the distribution networks, and, due to the concern associated with out-of-phase reclosing, anti-islanding continues to be an issue, where no clear solution exists. The passive islanding detection technique is the simplest method to detect the islanding condition which compares the existing parameters of the system having some threshold values. This study first presents an auto-ground approach, which is based on the application of three-phase, short-circuit to the islanded distribution system just to reclose and re-energize the system. After that, the data mining-decision tree algorithm is implemented on a typical distribution system with multiple DGs. The results from both of the techniques have been accomplished and verified by determining the Non-Detection Zone (NDZ), which satisfies the IEEE standards of 2 s execution time. From the analysis, it is concluded that the decision tree approach is effective and highly accurate to detect the islanding state in DGs. These simulations in detail compare the old and new methods, clearly highlighting the progress in the field of islanding detection. View Full-Text
Keywords: islanding detection; distributed generation system; auto-grounding; data mining islanding detection; distributed generation system; auto-grounding; data mining
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Shrestha, A.; Kattel, R.; Dachhepatic, M.; Mali, B.; Thapa, R.; Singh, A.; Bista, D.; Adhikary, B.; Papadakis, A.; Maskey, R.K. Comparative Study of Different Approaches for Islanding Detection of Distributed Generation Systems. Appl. Syst. Innov. 2019, 2, 25.

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