Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation

The paper presents wavelet singular entropy (WSE)-based islanding detection in distributed generation (DG) interfaced to the microgrid. Initially, the three-phase voltage signals retrieved at the target DG location are processed through wavelet transform (WT) to derive detailed coefficient at differ...

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Veröffentlicht in:IEEE transactions on power delivery 2013-01, Vol.28 (1), p.411-418
Hauptverfasser: Samui, A., Samantaray, S. R.
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description The paper presents wavelet singular entropy (WSE)-based islanding detection in distributed generation (DG) interfaced to the microgrid. Initially, the three-phase voltage signals retrieved at the target DG location are processed through wavelet transform (WT) to derive detailed coefficient at different levels of decomposition. From the detailed coefficients, the singular value matrix is generated and the WSE for each phase is calculated. Finally, the WSE index (WSEI) for islanding detection is computed by adding the WSE of each phase. The proposed WSEI is able to detect islanding within 10 ms (half cycle) from the event inception, showing the speed of the developed technique. It is observed that WSEI is highly effective in islanding detection, including different islanding and nonislanding conditions in the initial test system and standard microgrid with wide variations in operating parameters.
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subjects Active power mismatch
Circuit breakers
Coefficients
distributed generation (DG)
Electric power distribution
Electric power grids
Electric power systems
Entropy
islanding detection
Mathematical analysis
microgrid
Reactive power
reactive power mismatch
Relays
Studies
Voltage
Wavelet
Wavelet analysis
wavelet singular entropy (WSE)
wavelet transform (WT)
Wavelet transforms
title Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation
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