Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation

Samui, A.; Samantaray, Subhransu Ranjan

doi:10.1109/tpwrd.2012.2220987

Cited by 161 publications

(77 citation statements)

References 16 publications

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“…Jing et al [35] proposed islanding detection scheme based on the positive feedback of voltage harmonics distortion. Later on, Samui et al [36] proposed wavelet singular entropy based islanding detection technique for lower power mis matches. However, real t ime implementation of the said scheme is very difficult due to hardware limitations.…”

Section: (C)mentioning

confidence: 99%

Impact of Distribuion Generation on Protection Coordination

2014

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Section: (C)mentioning

confidence: 99%

Impact of Distribuion Generation on Protection Coordination

2014

IJAERD

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“…On the one hand, wavelet theory and wavelet packet theory are gradually improved and developed, and researches of algorithm structure and fast algorithm are deepened [8,9]. On the other hand, based on the advantages of wavelet theory and wavelet packet theory, they combine with entropy theory, which is developed toward practical direction [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Application of Shannon Wavelet Entropy and Shannon Wavelet Packet Entropy in Analysis of Power System Transient Signals

Chen

Dou

et al. 2016

Entropy

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Abstract:In a power system, the analysis of transient signals is the theoretical basis of fault diagnosis and transient protection theory. Shannon wavelet entropy (SWE) and Shannon wavelet packet entropy (SWPE) are powerful mathematics tools for transient signal analysis. Combined with the recent achievements regarding SWE and SWPE, their applications are summarized in feature extraction of transient signals and transient fault recognition. For wavelet aliasing at adjacent scale of wavelet decomposition, the impact of wavelet aliasing is analyzed for feature extraction accuracy of SWE and SWPE, and their differences are compared. Meanwhile, the analyses mentioned are verified by partial discharge (PD) feature extraction of power cable. Finally, some new ideas and further researches are proposed in the wavelet entropy mechanism, operation speed and how to overcome wavelet aliasing.

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“…Samui and Samantaray [30] incorporated the wavelet entropy measure in constructing the measuring index for islanding detection in distributed generation [30]. Wang et al [31] used best basis based wavelet packet entropy to extract feature in the decomposed structure for the follow-up classification algorithm, which performs well in EEG analysis for patient classification [31].…”

Section: Introductionmentioning

confidence: 99%

Wavelet Entropy Based Analysis and Forecasting of Crude Oil Price Dynamics

Zou

2015

Entropy

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Abstract:For the modeling of complex and nonlinear crude oil price dynamics and movement, wavelet analysis can decompose the time series and produce multiple economically meaningful decomposition structures based on different assumptions of wavelet families and decomposition scale. However, the determination of the optimal model specification will critically affect the forecasting accuracy. In this paper, we propose a new wavelet entropy based approach to identify the optimal model specification and construct the effective wavelet entropy based forecasting models. The wavelet entropy algorithm is introduced to determine the optimal wavelet families and decomposition scale, that will produce the improved forecasting performance. Empirical studies conducted in the crude oil markets show that the proposed algorithm outperforms the benchmark model, in terms of conventional performance evaluation criteria for the model forecasting accuracy.

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Wavelet Singular Entropy-Based Islanding Detection in Distributed Generation

Cited by 161 publications

References 16 publications

Impact of Distribuion Generation on Protection Coordination

Impact of Distribuion Generation on Protection Coordination

Application of Shannon Wavelet Entropy and Shannon Wavelet Packet Entropy in Analysis of Power System Transient Signals

Wavelet Entropy Based Analysis and Forecasting of Crude Oil Price Dynamics

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