Islanding Detection Method of Distributed Generation Based on Wavenet

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GHOLAMI M.

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Journal Paper

Paper Information

Journal: International Journal of Engineering Year:2019 | Volume:32 | Issue:2 (TRANSACTIONS B: Applications) Page(s): 242-248

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Information Journal Paper

Title

Islanding Detection Method of Distributed Generation Based on Wavenet

Author(s)

GHOLAMI M. | Issue Writer Certificate

Keywords

Islanding Detection

Wavelet Transform

Feature Extraction

Wavenet

Abstract

Due to the increasing need to distributed energy resources in power systems, their problems should be studied. One of the main problem of distributed energy resources is unplanned islanding. The unplanned islanding has some dangers to the power systems and the repairman which are works with the incorrect devices. In this paper, a passive local method is proposed. The proposed method is based on Wavelet Transform and a new classifier named as Wavenet. The Wavelet Transform is used to extract features from the current waveform of current at the point of common coupling (PCC) point. PCC is assumed as the connection point of distributed generation to the distribution system. The proposed method is implemented on a 15 bus grid in MATLAB/SIMULINK software. The results show the high accuracy of Islanding Detection of the proposed method. In this paper, one wind turbine is assumed as a distributed resource.

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APA: Copy

GHOLAMI, M.. (2019). Islanding Detection Method of Distributed Generation Based on Wavenet. INTERNATIONAL JOURNAL OF ENGINEERING, 32(2 (TRANSACTIONS B: Applications)), 242-248. SID. https://sid.ir/paper/721994/en

Vancouver: Copy

GHOLAMI M.. Islanding Detection Method of Distributed Generation Based on Wavenet. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2019;32(2 (TRANSACTIONS B: Applications)):242-248. Available from: https://sid.ir/paper/721994/en

IEEE: Copy

M. GHOLAMI, “Islanding Detection Method of Distributed Generation Based on Wavenet,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 32, no. 2 (TRANSACTIONS B: Applications), pp. 242–248, 2019, [Online]. Available: https://sid.ir/paper/721994/en

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