Wavelet entropy based algorithm for fault detection and classification in FACTS compensated transmission line
Amany El-Zonkoly,Hussein Desouki +1 more
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TL;DR: A new algorithm is proposed to detect and classify the fault and identify the fault position in a transmission line with respect to a FACTS device placed in the midpoint of the transmission line.
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About: This article is published in International Journal of Electrical Power & Energy Systems. The article was published on 01 Oct 2011. and is currently open access. The article focuses on the topics: Fault detection and isolation & Fault (power engineering).
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Citations
Deep-Learning-Based Fault Classification Using Hilbert–Huang Transform and Convolutional Neural Network in Power Distribution Systems
TL;DR: A deep-learning-based fault classification method in small current grounding power distribution systems is presented and has the characteristics of high accuracy and adaptability in fault classification of power Distribution systems.
196
A survey on intelligent system application to fault diagnosis in electric power system transmission lines
Vitor Hugo Ferreira,Rainer Zanghi,Marcio Zamboti Fortes,Guilherme Gonçalves Sotelo,Rafael Silva,Julio Cesar Stacchini de Souza,C.H.C. Guimarães,S. Gomes +7 more
TL;DR: A review of intelligent systems application to fault diagnosis in electric power system transmission lines and the classification of strategies employed and their relationships with classical techniques are presented, allowing the identification of the main trends and research areas related to transmission line intelligent fault diagnosis systems.
139
Multiwavelet Packet Entropy and its Application in Transmission Line Fault Recognition and Classification
TL;DR: Four multiwavelet packet entropies are defined to extract the features of different transmission line faults, and a radial basis function (RBF) neural network is used to recognize and classify 10 fault types of power transmission lines.
104
An ANFIS-based fault classification approach in power distribution system
TL;DR: In this article, an adaptive neural fuzzy inference system (ANFIS) based fault classification scheme in neutral non-effectively grounded distribution system is proposed, where transient currents are obtained by wavelet transform after faults occur.
103
A hybrid time–frequency approach based fuzzy logic system for power island detection in grid connected distributed generation
TL;DR: A new time–frequency approach for power island detection in distributed generation systems is presented, using a hybrid fast variant of the S-Transform (ST) algorithm and a fuzzy expert system, which results in significantly reduced computational cost, than the conventional S-transform approach.
100
References
Fault Classification and Section Identification of an Advanced Series-Compensated Transmission Line Using Support Vector Machine
TL;DR: The proposed method converges very fast with fewer numbers of training samples compared to neural-network and neuro-fuzzy systems which indicates fastness and accuracy of the proposed method for protection of the transmission line with TCSC.
Usage of wavelet transform in the protection of series-compensated transmission lines
TL;DR: In this paper, a new method for the boundary protection of series-compensated transmission lines, as well as fault classification is presented, which is based on detecting distinct frequency bands contained in the transient fault current wave.
192
Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line
TL;DR: In this article, a discrete wavelet transform integrated with a fuzzy logic system is designed for fault classification of a transmission line possessing a series capacitor at the midpoint, which uses information obtained from the wavelet decomposition of current signals for faulty phase selection and section identification.
165
Fault classification technique for series compensated transmission line using support vector machine
TL;DR: In this article, a fault classification technique using support vector machine (SVM) for a series compensated transmission line with a fixed series capacitor placed at the middle of the line is presented.
148
Applying wavelet entropy principle in fault classification
S.M. El Safty,Amany El-Zonkoly +1 more
TL;DR: In this article, the authors used wavelet analysis together with wavelet entropy principle to detect and classify the type of fault in power system and achieved successful identification of the type. But, this procedure is required to be precise with no time consumption.
103