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E.-S.T. Eldin

Bio: E.-S.T. Eldin is an academic researcher from Cairo University. The author has contributed to research in topics: Wavelet transform & Emtp. The author has an hindex of 8, co-authored 9 publications receiving 234 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, a wavelet-based fault-location scheme for aged cable systems was proposed, where synchronized digital fault recorded data are available at the two terminals of each cable, and the wavelet processing scheme is applied on the modal coordinates instead of the phase coordinates.
Abstract: This paper presents a novel wavelet-based fault-location scheme for aged cable systems when synchronized digital fault recorded data are available at the two terminals of each cable. The proposed scheme estimates the fault location in multiend-aged cable systems using the theory of wavelet singularity detection as a powerful signal processing tool. The arrival of the first and second voltage traveling waves at both ends of the power cables can be identified reliably. The developed wavelet processing scheme is applied on the modal coordinates instead of the phase coordinates. The proposed scheme has the ability to eliminate the impact of the change in the propagation velocity of the traveling waves on the fault-location calculations. This will help solve the problem of cable changing parameters, especially the change of the relative permittivity of the cable with age. The method is valid even with faults that are very close to busbars. Characteristics of the proposed fault-location scheme are analyzed by extensive simulation studies using Alternative Transients Program/Electromagnetic Transients Program. The results indicate an accepted degree of accuracy for the suggested fault locator

147 citations

Journal ArticleDOI
TL;DR: In this paper, a real-time testing for the high impedance fault (HIF) detection algorithm based on real time accidents data is presented, which can accurately detect HIFs in the EHV transmission lines within only half a cycle from the instant of fault occurrence.

24 citations

Proceedings ArticleDOI
E.-S.T. Eldin1
16 Jun 2010
TL;DR: In this paper, an efficient and practical algorithm based on using wavelet MRA coefficients for fault detection and classification, as well as accurate fault location, is proposed for series compensated transmission lines.
Abstract: Fault diagnosis is a major area of investigation for power system and intelligent system applications. This paper proposes an efficient and practical algorithm based on using wavelet MRA coefficients for fault detection and classification, as well as accurate fault location. A three-phase transmission line with series compensation is simulated using MATLAB software. The line currents at both ends are processed using an online wavelet transform algorithm to obtain wavelet MRA for fault recognition. Directions and magnitudes of spikes in the wavelet coefficients are used for fault detection and classification. After identifying the fault section, the summation of the sixth level MRA coefficients of the currents are fed to adaptive neuro-fuzzy inference system (ANFIS) to obtain accurate fault location. The proposed scheme is able to detect all types of internal faults at different locations either before or after the series capacitor, at different inception angles, and at different fault resistances. It can also detect the faulty phase(s) and can differentiate between internal and external faults. The simulation results show that the proposed method has the characteristic of a simple and clear recognition process. We conclude that the algorithm is ready for series compensated transmission lines.

22 citations

Proceedings ArticleDOI
24 Jun 2007
TL;DR: In this paper, the authors presented an ATP/EMTP fault simulation studies based algorithm for high impedance fault detection in extra high voltage transmission line, which recognizes the distortion of the voltage waveforms caused by the arcs usually associated with HIF.
Abstract: High impedance faults (HIFs) are difficult to detect by overcurrent protection relays. This paper presents an ATP/EMTP fault simulations studies based algorithm for high impedance fault detection in extra high voltage transmission line. The scheme recognizes the distortion of the voltage waveforms caused by the arcs usually associated with HIF. The discrete wavelet transform (DWT) based analysis, yields three phase voltage in the high frequency range which are fed to a classifier for pattern recognition. The classifier is based on an algorithm that uses recursive method to sum the absolute values of the high frequency signal generated over one cycle and shifting one sample. A HIF model of distribution is modified for EHV transmission lines. Characteristics of the proposed fault detection scheme are analyzed by extensive simulation studies that clearly reveal that the proposed method can accurately detect HIFs in the EHV transmission lines.

19 citations

Proceedings ArticleDOI
15 Mar 2009
TL;DR: In this article, the authors proposed a high impedance fault detection algorithm for EHV transmission lines with series capacitors at the middle of the line, which can recognize the distortion of the voltage waveforms caused by the arcs usually associated with HIFs.
Abstract: Coupling capacitive voltage transformers behave as low pass filters which reject the high frequencies associated with voltage signals, so the effect of HIF on voltage signals is neglected. In addition, using series capacitors (SCs) equipped with metal oxide varistors (MOVs) increases the protection relaying problems and complicates the trip decision. This paper presents a high impedance fault detection algorithm for maximum trip time required of 3/4 cycle. The proposed scheme implemented on two different models of HIF in extra high voltage double-ended transmission lines with series capacitors at the middle of the line. The scheme recognizes the distortion of the voltage waveforms caused by the arcs usually associated with HIFs. The discrete wavelet transform (DWT) based analysis, yields three phase voltages in high frequency range which are fed to Clarke's transformation to produce ground and aerial modes voltage components for pattern recognition. The classifier is based on an algorithm that uses recursive method to sum the absolute values of high frequency signals generated over one cycle and shifts one sample. Characteristics of the proposed scheme are fully analyzed by extensive ATP/EMTP simulation studies that clearly reveal that the proposed method can accurately detect HIFs in EHV transmission lines and does not affected by different fault conditions such as fault distance and fault inception angle.

16 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors proposed a powerful high-speed traveling-wave-based technique for the protection of power transmission lines, which uses principal component analysis to identify the dominant pattern of the signals preprocessed by wavelet transform.
Abstract: This paper proposes a powerful high-speed traveling-wave-based technique for the protection of power transmission lines. The proposed technique uses principal component analysis to identify the dominant pattern of the signals preprocessed by wavelet transform. The proposed protection algorithm presents a discriminating method based on the polarity, magnitude, and time interval between the detected traveling waves at the relay location. A supplemental algorithm consisting of a high-set overcurrent relay as well as an impedance-based relay is also proposed. This is done to overcome the well-known shortcomings of traveling-wave-based protection techniques for the detection of very close-in faults and single-phase-to-ground faults occurring at small voltage magnitudes. The proposed technique is evaluated for the protection of a two-terminal transmission line. Extensive simulation studies using PSCAD/EMTDC software indicate that the proposed approach is reliable for rapid and correct identification of various fault cases. It identifies most of the internal faults very rapidly in less than 2 ms. In addition, the proposed technique presents high noise immunity.

215 citations

Journal ArticleDOI
TL;DR: This paper presents a single-ended traveling wave-based fault location method for a hybrid transmission line: an overhead line combined with an underground cable that is tested for different fault inception angles, fault resistances, non-linear high impedance faults, and non-ideal faults with satisfactory results.
Abstract: This paper presents a single-ended traveling wave-based fault location method for a hybrid transmission line: an overhead line combined with an underground cable. Discrete wavelet transformation (DWT) is used to extract transient information from the measured voltages. Support vector machine (SVM) classifiers are utilized to identify the faulty-section and faulty-half. Bewley diagrams are observed for the traveling wave patterns and the wavelet coefficients of the aerial mode voltage are used to locate the fault. The transient simulation for different fault types and locations are obtained by ATP using frequency-dependent line and cable models. MATLAB is used to process the simulated transients and apply the proposed method. The performance of the method is tested for different fault inception angles (FIA), different fault resistances, non-linear high impedance faults (NLHIF), and non-ideal faults with satisfactory results. The impact of cable aging on the proposed method accuracy is also investigated.

212 citations

Journal ArticleDOI
TL;DR: A review of the literature related to the HIF phenomenon can be found in this paper, where the authors categorized, evaluated, and compared the existing HIF detection techniques and HIF location techniques.

200 citations

Journal ArticleDOI
TL;DR: Both classification and location algorithms can be used as effective tools for real-time digital relaying purpose and are immune from effects of faults inception angle, impedance and distance.

162 citations

Journal ArticleDOI
TL;DR: In this article, a traveling-wave-based fault-location algorithm for hybrid multiterminal transmission systems that consist of one onshore overhead lines and multiple offshore submarine cables is presented.
Abstract: This paper presents a traveling-wave-based fault-location algorithm for hybrid multiterminal transmission systems that consist of one onshore overhead lines and multiple offshore submarine cables. Such hybrid transmission systems are common for interconnection of offshore wind farms to the main grid. The input to the algorithm is synchronized transient voltage measurements from all of the receiving ends. These measurements are obtained by optical voltage transducers equipped with global positioning system receivers for time synchronization. The discrete wavelet transformation is utilized to decompose the mode-1 voltages at the receiving ends. The first wave arrival times are then obtained by observing the squares of the wavelet transformation coefficient (WTC 2 ). The transient simulations and the postfault analysis are carried out using EMTP-RV and MATLAB Wavelet Toolbox, respectively. The accuracy, limitations, and capabilities of the proposed algorithm are presented and discussed for different fault conditions.

135 citations