DocumentCode :
105574
Title :
Morphology Singular Entropy-Based Phase Selector Using Short Data Window for Transmission Lines
Author :
Zhang, Linda L. ; Li, M.S. ; Ji, T.Y. ; Wu, Q.H. ; Jiang, L. ; Zhan, Junpeng
Author_Institution :
Sch. of Electr. Power Eng., South China Univ. of Technol. (SCUT), Guangzhou, China
Volume :
29
Issue :
5
fYear :
2014
fDate :
Oct. 2014
Firstpage :
2162
Lastpage :
2171
Abstract :
This paper presents a new technique called morphology singular entropy (MSE), based on which a phase selector for transmission lines is developed. MSE combines mathematical morphology, singular value decomposition (SVD), and entropy theory, making it insensitive to noise and easy to extract the features of the fault-induced transients. Voltage signals are used as inputs of the proposed MSE-based phase selector. Each signal is processed by a multiscale morphological filter first, and a matrix consisting of the outputs of the filter is formed. By decomposing the matrix using SVD, the singular values are obtained, and then the entropy in association with this signal can be calculated. Afterwards, in order to improve the sensitivity and reliability of the phase selection, four classification indices derived from the entropies are defined. The phase selection is performed by comparing these four indices to a preset threshold. Simulation data generated using PSCAD/EMTDC and real-life data have been employed to verify the performance of the proposed method.
Keywords :
entropy; feature extraction; filtering theory; mathematical morphology; power system transients; power transmission faults; power transmission lines; power transmission reliability; sensitivity analysis; singular value decomposition; MSE; PSCAD-EMTDC; SVD; classification indices; entropy theory; fault-induced transients; feature extraction; mathematical morphology; morphology singular entropy-based phase selector; multiscale morphological filter; reliability; sensitivity; short data window; singular value decomposition; transmission lines; voltage signals; Entropy; Matrix decomposition; Morphology; Noise; Power transmission lines; Transient analysis; Entropy; fault; mathematical morphology; phase selector; singular value decomposition (SVD); transmission line;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2014.2301231
Filename :
6742623
Link To Document :
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