Sensitive/stable complementary fault identification scheme for overhead transmission lines

Zaki, Mohamed I.; El‐Sehiemy, Ragab A.; Amer, Ghada M.; Enin, Fathy M. Abo El

doi:10.1049/iet-gtd.2018.5016

Cited by 14 publications

(7 citation statements)

References 29 publications

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“…Different reference sets different sampling frequency. Most of the sampling frequencies are 3.2, 6.4, 10, 12.6 and 20 kHz [23,[46][47][48]. In order to illustrate the selection basis of the sampling frequency used in the proposed method, the variations of sampling frequencies (3.2, 6.4, 10, 12.6 and 20 kHz) are studied.…”

Section: Influence Of System Parameters On Accuracymentioning

confidence: 99%

Stockwell‐transform and random‐forest based double‐terminal fault diagnosis method for offshore wind farm transmission line

Wang

Gao

Liu

et al. 2021

IET Renewable Power Gen

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Due to the difficulty and time-consumption in locating short-distance transmission lines for deep-sea offshore wind farm (DOWF),this paper proposes a novel double-terminal fault location method by using Stockwell-transform (ST) and random-forest (RF). After the fault type and branch are accurately determined, the accurate transmission line fault location is located. Firstly, Stockwell-transform is employed to extract fault eigenvalues from the collected wind turbine (WT) current signals, which will reduce the sensitivity of eigenvalues to noise. And the Pearson correlation coefficient (PCC) is introduced to remove duplicate eigenvalues. Secondly, the reserved fault eigenvalues are taken as inputs to the different random-forest to classify fault types and identify the fault branch, respectively. Finally, the double-terminal fault location principle is established in fault negative sequence network (only ABCG uses positive sequence components). Newton-Raphson method (NRM) is used to eliminate the influence of asynchrony data, which implies an accurate transmission line fault location for deep-sea offshore wind farm. More than 4000 fault cases data obtained by Simulink simulation verify the feasibility and performance of the proposed method. The results show that the proposed location method has a high fault recognition rate and is immune to fault inception angle, resistance, location and noise.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Influence Of System Parameters On Accuracymentioning

confidence: 99%

Stockwell‐transform and random‐forest based double‐terminal fault diagnosis method for offshore wind farm transmission line

Wang

Gao

Liu

et al. 2021

IET Renewable Power Gen

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“…In another study, ultra-high-speed pilot protection of transmission lines has been presented based on the directional comparison of transient energy [14]. In another study on protection schemes, a complementary fault identification scheme has been proposed for threesupply high-voltage transmission lines [15]. Digital impedance protection of transmission lines is a deficiency known not only as a principle but also as an application.…”

Section: Related Workmentioning

confidence: 99%

Autonomous Operation of Microgrid and Minimization of Fault in Case of Failure in High-Voltage Lines

et al. 2020

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Highlights  The algorithms that make autonomous maneuver management to the grid have been developed in case of symmetrical and asymmetrical faults in high voltage lines.  The autonomous islanding mode operation has been carried out during the faults in order to prevent the consumers from being affected by faults.  The energy management has been made according to the energy production amount of the distributed generation resources, when the designed microgrid started operating in islanding mode in the fault case.  The SFCL has been designed to prevent damage to the loads and other components in the microgrid while the current characteristics of PV power supply change in case of faults during entry-exit to island mode.

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“…However, this method suffers from always using fixed resolution though analysis of local sections of fault signals. DWT method is proposed in [12] for a non-stationary signal to decompose fault signals in time and frequency domains, but it does not provide adequate data about a fault nature. The authors in [13] proposed a fault identification scheme using alienation coefficients for the measurement of current signal, while in [14] correlation coefficients have been used for fault detection and classification based on synchronised measurements.…”

Section: Introductionmentioning

confidence: 99%

Efficient Smart Grid Fault-Identification Approach with Photovoltaic Distributed Generators Based on Monitoring of Current/Voltage Signals

Zaki¹,

Megahed²,

Abdelkader³

2024

RE&PQJ

Self Cite

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A Smart grid fault-identification is a critical aspect of the protection relaying system with the integration of renewable energy based on photovoltaic-distributed generators. With increasing the distributed generators usage in smart grids, the conventional relaying techniques suffer from maloperation owing to the risk of changing fault current levels. Therefore, in this paper, a discrete wavelet transform (DWT) and the statistical cross-alienation coefficients-based method is proposed to detect and classify different types of faults considering the dynamic response of photovoltaic. The proposed protection scheme does not require any extra-measuring systems as it relied on the one-ended measurements that are installed at PV-feeder over a moving window, which are available due to the use of advanced measuring facilities in smart grids. This opens the doors to transferring real-time data from / to protective relays, and then these datasets are processed for discriminating among various internal fault classes and external and healthy conditions. Intensive simulation studies are executed using PSCAD/EMTDC platform along with the validation of the proposed scheme. The 300 kW PV panel is connected to grid though a boost converter and Voltage Source Inverter. Results unveil that the application of alienation concept and differential faulty energy method for approximation coefficients-based DWT for voltage and current signals show a better performance in terms of accuracy and computational burden.

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Sensitive/stable complementary fault identification scheme for overhead transmission lines

Cited by 14 publications

References 29 publications

Stockwell‐transform and random‐forest based double‐terminal fault diagnosis method for offshore wind farm transmission line

Stockwell‐transform and random‐forest based double‐terminal fault diagnosis method for offshore wind farm transmission line

Autonomous Operation of Microgrid and Minimization of Fault in Case of Failure in High-Voltage Lines

Efficient Smart Grid Fault-Identification Approach with Photovoltaic Distributed Generators Based on Monitoring of Current/Voltage Signals

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