A New Islanding Detection Technique using Ensemble Empirical Mode Decomposition
Divya Sathya Sree.I1, Pangedaiah.B2
1Divya Sathya Sree.I* 1Electrical and Electronics Engineering Department, Lakireddy BaliReddy College of Engineering, India.
2Pangedaiah.B, 1Electrical and Electronics Engineering Department, Lakireddy BaliReddy College of Engineering, Andhra Pradesh India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 461-466 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4556099320 | DOI: 10.35940/ijrte.C4556.099320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Penetration of distributed generation (DG) is rapidly increasing but their main issue is islanding. Advanced signal processing methods needs a renewed focus in detecting islanding. The proposed scheme is based on Ensemble Empirical Mode Decomposition (EEMD) in which Gaussian white noise is added to original signal which solves the mode mixing problem of Empirical mode decomposition (EMD) and Hilbert transform is applied to obtained Intrinsic mode functions(IMF). The proposed method reliably and accurately detects disturbances at different events.
Keywords: Distributed Generation (DG), Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition (EEMD), Intrinsic Mode Function (IMF).